本文旨在调研TGRS中所有与深度学习相关的文章，以投稿为导向，总结其研究方向规律等。文章来源为EI检索记录，选取2020到2023年期间录用的所有文章，约4000条记录。同时，考虑到可能有会议转投期刊，模型改进转投或相关较强等情况，本文也添加了这些文章。
具体的检索过程即检索导出文件下载请参考IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS)文章检索脚本(适用于所有xplore检索导出)和IEEE TGRS近三年文章检索记录
————————————更新日志————————————
2023-04-08：完成第一个分区的研究方向分类及文章汇总
2023-04-15：完成第二个分区的研究方向分类及文章汇总
2023-09-10：完成第三个分区的研究方向分类及文章汇总
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高光谱类

目标检测（Target Detection）

Hyperspectral Target Detection With RoI Feature Transformation and Multiscale Spectral Attention
Target Detection Through Tree-Structured Encoding for Hyperspectral Images
Sensor-Independent Hyperspectral Target Detection With Semisupervised Domain Adaptive Few-Shot Learning
Two-Stream Convolutional Networks for Hyperspectral Target Detection

谱数据转换

Transformation of Multispectral Data to QuasiHyperspectral Data Using Convolutional Neural Network Regression

高光谱解混

A 3-D-CNN Framework for Hyperspectral Unmixing With Spectral Variability
Hyperspectral Unmixing for Additive Nonlinear Models With a 3-D-CNN Autoencoder Network
Hyperspectral Unmixing Using Deep Convolutional Autoencoders in a Supervised Scenario
CASCADED AUTOENCODERS FOR SPECTRAL-SPATIAL REMOTELY SENSED HYPERSPECTRAL IMAGERY UNMIXING
Convolutional Autoencoder for Spectral–Spatial Hyperspectral Unmixing

多模态

Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture
Multiple Feature-Based Superpixel-Level Decision Fusion for Hyperspectral and LiDAR Data Classification

谱域适应

ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks

缺谱恢复

ALERT: Adversarial Learning With Expert Regularization Using Tikhonov Operator for Missing Band Reconstruction

多谱锐化(Pansharpening)

Band-Independent Encoder–Decoder Network for Pan-Sharpening of Remote Sensing Images
Hyperspectral Pansharpening Using Deep Prior and Dual Attention Residual Network
HPGAN: Hyperspectral Pansharpening Using 3-D Generative Adversarial Networks
Pan-Sharpening via Multiscale Dynamic Convolutional Neural Network
Unsupervised Pansharpening Based on Self-Attention Mechanism
Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs
PSMD-Net: A Novel Pan-Sharpening Method Based on a Multiscale Dense Network
Two Stages Pan-Sharpening Details Injection Approach Based on Very Deep Residual Networks

高光谱遥感分割

Class-Wise Distribution Adaptation for Unsupervised Classification of Hyperspectral Remote Sensing Images

高光谱分类（分割）

HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers
Learning to Pay Attention on Spectral Domain: A Spectral Attention Module-Based Convolutional Network for Hyperspectral Image Classification
Supervised Functional Data Discriminant Analysis for Hyperspectral Image Classification
Generalized Tensor Regression for Hyperspectral Image Classification
A Convolutional Neural Network With Mapping Layers for Hyperspectral Image Classification
Patch Tensor-Based Multigraph Embedding Framework for Dimensionality Reduction of Hyperspectral Images
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification
Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification
Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification
Deep Feature Fusion via Two-Stream Convolutional Neural Network for Hyperspectral Image Classification
Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network
An Adaptive Multiview Active Learning Approach for Spectral–Spatial Classification of Hyperspectral Images
Collaborative Representation Ensemble Using Bagging for Hyperspectral Image Classification
Collaborative Representation Ensemble Using Bagging for Hyperspectral Image Classification
Latent Relationship Guided Stacked Sparse Autoencoder for Hyperspectral Imagery Classification
Hyperspectral Classification With Noisy Label Detection via Superpixel-to-Pixel Weighting Distance
Spatial–Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification
Spatial–Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification
Multilabel Sample Augmentation-Based Hyperspectral Image Classification
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification
Hyperspectral Image Classification With Convolutional Neural Network and Active Learning
Lightweight Spectral–Spatial Squeeze-and-Excitation Residual Bag-of-Features Learning for Hyperspectral Classification
CVA2E: A Conditional Variational Autoencoder With an Adversarial Training Process for Hyperspectral Imagery Classification
Subpixel-Pixel-Superpixel-Based Multiview Active Learning for Hyperspectral Images Classification
Adaptive MultiScale Segmentations for Hyperspectral Image Classification
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification
Superpixel-Level Weighted Label Propagation for Hyperspectral Image Classification
Content-Guided Convolutional Neural Network for Hyperspectral Image Classification
AeroRIT: A New Scene for Hyperspectral Image Analysis（新数据集）
Spatial Revising Variational Autoencoder-Based Feature Extraction Method for Hyperspectral Images
Adaptive Spectral–Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification
Classification of Hyperspectral Images via Multitask Generative Adversarial Networks
Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification
Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial–Spectral Attention Network
Hyperspectral Image Classification via Spatial Window-Based Multiview Intact Feature Learning
Hyperspectral Image Classification With Attention-Aided CNNs
Multiscale Residual Network With Mixed Depthwise Convolution for Hyperspectral Image Classification
Attention Multibranch Convolutional Neural Network for Hyperspectral Image Classification Based on Adaptive Region Search
Attention Symbiotic Neural Network for Hyperspectral Image Refined Classification Based on Relative Water Content Retrieval
Efficient Deep Learning of Nonlocal Features for Hyperspectral Image Classification
Graph Convolutional Networks for Hyperspectral Image Classification
Cross-Dataset Hyperspectral Image Classification Based on Adversarial Domain Adaptation
A Lightweight Convolutional Neural Network for Hyperspectral Image Classification
Adaptive DropBlock-Enhanced Generative Adversarial Networks for Hyperspectral Image Classification
FLOP-Reduction Through Memory Allocations Within CNN for Hyperspectral Image Classification
Fusion of Spectral–Spatial Classifiers for Hyperspectral Image Classification
SLCRF: Subspace Learning With Conditional Random Field for Hyperspectral Image Classification
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning
Fast Sequential Feature Extraction for Recurrent Neural Network-Based Hyperspectral Image Classification

高光谱压缩感知

Context-Aware Compressed Sensing of Hyperspectral Image

变化检测

Style Transformation-Based Spatial–Spectral Feature Learning for Unsupervised Change Detection

高光谱异常检测

Hyperspectral Anomaly Detection With Kernel Isolation Forest
Graph and Total Variation Regularized Low-Rank Representation for Hyperspectral Anomaly Detection
Spectral Adversarial Feature Learning for Anomaly Detection in Hyperspectral Imagery
Exploiting Embedding Manifold of Autoencoders for Hyperspectral Anomaly Detection
SRUN: Spectral Regularized Unsupervised Networks for Hyperspectral Target Detection
Hyperspectral Band Selection for Spectral–Spatial Anomaly Detection
Game Theory-Based Hyperspectral Anomaly Detection
Autoencoder and Adversarial-Learning-Based Semisupervised Background Estimation for Hyperspectral Anomaly Detection
Discriminative Reconstruction Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection
Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection
Subpixel-Pixel-Superpixel Guided Fusion for Hyperspectral Anomaly Detection
Discriminative Reconstruction for Hyperspectral Anomaly Detection With Spectral Learning
Weakly Supervised Discriminative Learning With Spectral Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection
Characterization of Background-Anomaly Separability With Generative Adversarial Network for Hyperspectral Anomaly Detection

高光谱超分辨

Nonlocal Coupled Tensor CP Decomposition for Hyperspectral and Multispectral Image Fusion
An Explicit and Scene-Adapted Definition of Convex Self-Similarity Prior With Application to Unsupervised Sentinel-2 Super-Resolution
A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-Resolution
Hyperspectral Image Super-Resolution by Band Attention Through Adversarial Learning
Spatial and Spectral Joint Super-Resolution Using Convolutional Neural Network
CNN-Based Super-Resolution of Hyperspectral Images
Hyperspectral Image Super-Resolution via Intrafusion Network
Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution
Hybrid 2-D–3-D Deep Residual Attentional Network With Structure Tensor Constraints for Spectral Super-Resolution of RGB Images

高光谱图像聚类

Learning Discriminative Embedding for Hyperspectral Image Clustering Based on Set-to-Set and Sample-to-Sample Distances
Deep Clustering With Intraclass Distance Constraint for Hyperspectral Images
Nonlocal Means Regularized Sketched Reweighted Sparse and Low-Rank Subspace Clustering for Large Hyperspectral Images
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image

高光谱图像融合

Information Loss-Guided Multi-Resolution Image Fusion
HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss
A Graph-Based Approach for Data Fusion and Segmentation of Multimodal Images
SSR-NET: Spatial–Spectral Reconstruction Network for Hyperspectral and Multispectral Image Fusion

高光谱图像去噪

Hyperspectral image denoising employing a spatial–spectral deep residual convolutional neural network
HSI-DeNet: Hyperspectral image restoration via convolutional neural network
A Self-Supervised Denoising Network for SatelliteAirborne-Ground Hyperspectral Imagery
A Single Model CNN for Hyperspectral Image Denoising
Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural Networks

高光谱图像去雾

A Spatial–Spectral Adaptive Haze Removal Method for Visible Remote Sensing Images

高光谱图像选谱

BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image
Deep Latent Spectral Representation Learning-Based Hyperspectral Band Selection for Target Detection
Self-Mutual Information-Based Band Selection for Hyperspectral Image Classification

高光谱可视化

Multichannel Pulse-Coupled Neural Network-Based Hyperspectral Image Visualization

SAR相关

参数估计

Φ-Net: Deep Residual Learning for InSAR Parameters Estimation

海浪高度预测

Deep Learning for Predicting Significant Wave Height From Synthetic Aperture Radar

水体检测

Water Body Detection in High-Resolution SAR Images With Cascaded Fully-Convolutional Network and Variable Focal Loss

SAR变化检测

Large-Scope PolSAR Image Change Detection Based on Looking-Around-and-Into Mode
Selective Adversarial Adaptation-Based Cross-Scene Change Detection Framework in Remote Sensing Images
Semantic Unsupervised Change Detection of Natural Land Cover With Multitemporal Object-Based Analysis on SAR Images
Developing Long Time Series 1-km Land Cover Maps From 5-km AVHRR Data Using a Super-Resolution Method
Detecting Ground Deformation in the Built Environment Using Sparse Satellite InSAR Data With a Convolutional Neural Network

SAR图像降斑

SAR Image Despeckling by Noisy Reference-Based Deep Learning Method
SAR Image Despeckling Employing a Recursive Deep CNN Prior

SAR遮挡图像分类

Fusion of Sparse Model Based on Randomly Erased Image for SAR Occluded Target Recognition
SAR Speckle Removal Using Hybrid Frequency Modulations

时序SAR分类

Deep Learning Applications on Multitemporal SAR (Sentinel-1) Image Classification Using Confined Labeled Data: The Case of Detecting Rice Paddy in South Korea
Spatial–Temporal Ensemble Convolution for Sequence SAR Target Classification

目标模拟

Parameter Extraction Based on Deep Neural Network for SAR Target Simulation

图像分类增量学习

Class Boundary Exemplar Selection Based Incremental Learning for Automatic Target Recognition

SAR和光学图像匹配

Exploring the potential of conditional adversarial networks for optical and SAR image matching

干涉相位梯度估计

Deep Convolutional Neural Network-Based Robust Phase Gradient Estimation for Two-Dimensional Phase Unwrapping Using SAR Interferograms

图像生成

LDGAN: A Synthetic Aperture Radar Image Generation Method for Automatic Target Recognition

SAR视频目标跟踪

VIDEO SAR GROUND MOVING TARGET INDICATION BASED ON MULTI-TARGET TRACKING NEURAL NETWORK
Video SAR Moving Target Detection Using Dual Faster R-CNN
Video SAR Moving Target Indication Using Deep Neural Network

SAR图像分类

FEC: A Feature Fusion Framework for SAR Target Recognition Based on Electromagnetic Scattering Features and Deep CNN Features
Ship Classification in Medium-Resolution SAR Images via Densely Connected Triplet CNNs Integrating Fisher Discrimination Regularized Metric Learning
Semisupervised Learning-Based SAR ATR via Self-Consistent Augmentation
Statistical Scattering Component-Based Subspace Alignment for Unsupervised Cross-Domain PolSAR Image Classification
Ship Classification in SAR Images With Geometric Transfer Metric Learning

SAR目标检测

Saliency-Guided Single Shot Multibox Detector for Target Detection in SAR Images
A Patch-to-Pixel Convolutional Neural Network for Small Ship Detection With PolSAR Images
Ship Detection in Large-Scale SAR Images Via Spatial Shuffle-Group Enhance Attention
An Anchor-Free Method Based on Feature Balancing and Refinement Network for Multiscale Ship Detection in SAR Images
Ship Detection in Spaceborne Infrared Image Based on Lightweight CNN and Multisource Feature Cascade Decision
A Novel Pattern for Infrared Small Target Detection With Generative Adversarial Network

SAR目标区分Target Discrimination

A Semisupervised Infinite Latent Dirichlet Allocation Model for Target Discrimination in SAR Images With Complex Scenes
Target Discrimination Based on Weakly Supervised Learning for High-Resolution SAR Images in Complex Scenes

SAR分类（分割）

PolSAR Feature Extraction Via Tensor Embedding Framework for Land Cover Classification
A Distribution and Structure Match Generative Adversarial Network for SAR Image Classification
Superpixel-Driven Optimized Wishart Network for Fast PolSAR Image Classification Using Global k {k} k -Means Algorithm
POL-SAR Image Classification Based on Modified Stacked Autoencoder Network and Data Distribution
Transfer Learning for SAR Image Classification via Deep Joint Distribution Adaptation Networks
High-Resolution SAR Image Classification Using Context-Aware Encoder Network and Hybrid Conditional Random Field Model
Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification
Semi-Supervised PolSAR Image Classification Based on Improved Tri-Training With a Minimum Spanning Tree
Multiscale CNN With Autoencoder Regularization Joint Contextual Attention Network for SAR Image Classification
Collaborative Attention-Based Heterogeneous Gated Fusion Network for Land Cover Classification
Cost-Sensitive Latent Space Learning for Imbalanced PolSAR Image Classification

遥感图像

域适应

Unifying Top–Down Views by Task-Specific Domain Adaptation

山崩检测

Improving Landslide Detection on SAR Data Through Deep Learning
Landslide Recognition by Deep Convolutional Neural Network and Change Detection

时空融合

A Flexible Reference-Insensitive Spatiotemporal Fusion Model for Remote Sensing Images Using Conditional Generative Adversarial Network
Remote Sensing Image Spatiotemporal Fusion Using a Generative Adversarial Network
CycleGAN-STF: Spatiotemporal Fusion via CycleGAN-Based Image Generation

无监督学习

Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast

变化检测

Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding
SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images

遥感场景度量学习

Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization

道路提取

Topology-Enhanced Urban Road Extraction via a Geographic Feature-Enhanced Network
Simultaneous Road Surface and Centerline Extraction From Large-Scale Remote Sensing Images Using CNN-Based Segmentation and Tracing
Learning From GPS Trajectories of Floating Car for CNN-Based Urban Road Extraction With High-Resolution Satellite Imagery
Road Segmentation for Remote Sensing Images Using Adversarial Spatial Pyramid Networks
Robust Deep Neural Networks for Road Extraction From Remote Sensing Images

遥感视频事件检测

Detection of Event of Interest for Satellite Video Understanding

VQA

LANGUAGE TRANSFORMERS FOR REMOTE SENSING VISUAL QUESTION ANSWERING

ROI提取

ROI Extraction Based on Multiview Learning and Attention Mechanism for Unbalanced Remote Sensing Data Set

图像检索

Learning to Translate for Cross-Source Remote Sensing Image Retrieval
Deep Cross-Modal Image–Voice Retrieval in Remote Sensing
Remote Sensing Cross-Modal Retrieval by Deep Image-Voice Hashing
Mental Retrieval of Remote Sensing Images via Adversarial Sketch-Image Feature Learning
MENTAL RETRIEVAL OF LARGE-SCALE SATELLITE IMAGES VIA LEARNED SKETCH-IMAGE DEEP FEATURES
Similarity-Based Unsupervised Deep Transfer Learning for Remote Sensing Image Retrieval
Hashing Nets for Hashing: A Quantized Deep Learning to Hash Framework for Remote Sensing Image Retrieval
Deep Hash Learning for Remote Sensing Image Retrieval
Graph Relation Network: Modeling Relations Between Scenes for Multilabel Remote-Sensing Image Classification and Retrieval
Global Optimization: Combining Local Loss With Result Ranking Loss in Remote Sensing Image Retrieval

图像标注

Deep Learning for Multilabel Remote Sensing Image Annotation With Dual-Level Semantic Concepts

超分辨

Coupled Adversarial Training for Remote Sensing Image Super-Resolution
DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images
DEEPSUM++: NON-LOCAL DEEP NEURAL NETWORK FOR SUPER-RESOLUTION OF UNREGISTERED MULTITEMPORAL IMAGES
Remote-Sensing Image Superresolution Based on Visual Saliency Analysis and Unequal Reconstruction Networks
Scene-Adaptive Remote Sensing Image Super-Resolution Using a Multiscale Attention Network
E-DBPN: Enhanced Deep Back-Projection Networks for Remote Sensing Scene Image Superresolution
Remote Sensing Image Super-Resolution Using Novel Dense-Sampling Networks
Remote Sensing Image Super-Resolution via Mixed High-Order Attention Network
Nonpairwise-Trained Cycle Convolutional Neural Network for Single Remote Sensing Image Super-Resolution
Super-Resolution-Guided Progressive Pansharpening Based on a Deep Convolutional Neural Network
Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening
Improving Satellite Image Fusion via Generative Adversarial Training
Remote Sensing Image Super-Resolution Using Second-Order Multi-Scale Networks

云层相关

图像去云

Thick Cloud Removal With Optical and SAR Imagery via Convolutional-Mapping-Deconvolutional Network
Deep Matting for Cloud Detection in Remote Sensing Images
Simultaneous Cloud Detection and Removal From Bitemporal Remote Sensing Images Using Cascade Convolutional Neural Networks
RSDehazeNet: Dehazing Network With Channel Refinement for Multispectral Remote Sensing Images
Single Image Cloud Removal Using U-Net and Generative Adversarial Networks
Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery

云层分类

Multimodal Ground-Based Remote Sensing Cloud Classification via Learning Heterogeneous Deep Features

云层检测

CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence
Multiscale Cloud Detection in Remote Sensing Images Using a Dual Convolutional Neural Network

条带噪声去除

Toward Universal Stripe Removal via Wavelet-Based Deep Convolutional Neural Network

去噪

Unsupervised Denoising for Satellite Imagery Using Wavelet Directional CycleGAN

增量分割

Multisource Domain Adaptation for Remote Sensing Using Deep Neural Networks

时序遥感图像预测

MCSIP Net: Multichannel Satellite Image Prediction via Deep Neural Network

建筑轮廓规则化

Toward Automatic Building Footprint Delineation From Aerial Images Using CNN and Regularization
MAP-Net: Multiple Attending Path Neural Network for Building Footprint Extraction From Remote Sensed Imagery

多模态

Multiresolution Multimodal Sensor Fusion for Remote Sensing Data With Label Uncertainty
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

极光图像搜索

Aurora Image Search With a Saliency-Weighted Region Network

图像描述（image captioning）

Sound Active Attention Framework for Remote Sensing Image Captioning
Truncation Cross Entropy Loss for Remote Sensing Image Captioning
SD-RSIC: Summarization-Driven Deep Remote Sensing Image Captioning

目标检测

Gated and Axis-Concentrated Localization Network for Remote Sensing Object Detection
Context-Aware Convolutional Neural Network for Object Detection in VHR Remote Sensing Imagery
FMSSD: Feature-Merged Single-Shot Detection for Multiscale Objects in Large-Scale Remote Sensing Imagery
Object Detection in High Resolution Remote Sensing Imagery Based on Convolutional Neural Networks With Suitable Object Scale Features
Hierarchical Semantic Propagation for Object Detection in Remote Sensing Imagery
Adaptive Saliency Biased Loss for Object Detection in Aerial Images
A Rotational Libra R-CNN Method for Ship Detection
Supervised High-Level Feature Learning With Label Consistencies for Object Recognition
Progressive Contextual Instance Refinement for Weakly Supervised Object Detection in Remote Sensing Images
Bayesian Transfer Learning for Object Detection in Optical Remote Sensing Images
Adaptive Period Embedding for Representing Oriented Objects in Aerial Images
COLOR: Cycling, Offline Learning, and Online Representation Framework for Airport and Airplane Detection Using GF-2 Satellite Images
A Novel CNN-Based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box
Automatic Weakly Supervised Object Detection From High Spatial Resolution Remote Sensing Images via Dynamic Curriculum Learning
X-LineNet: Detecting Aircraft in Remote Sensing Images by a Pair of Intersecting Line Segments
Arbitrary Direction Ship Detection in Remote-Sensing Images Based on Multitask Learning and Multiregion Feature Fusion
Orientation-Aware Vehicle Detection in Aerial Images via an Anchor-Free Object Detection Approach
OPD-Net: Prow Detection Based on Feature Enhancement and Improved Regression Model in Optical Remote Sensing Imagery
TCANet: Triple Context-Aware Network for Weakly Supervised Object Detection in Remote Sensing Images
SRAF-Net: Shape Robust Anchor-Free Network for Garbage Dumps in Remote Sensing Imagery
Point-Based Estimator for Arbitrary-Oriented Object Detection in Aerial Images
GRS-Det: An Anchor-Free Rotation Ship Detector Based on Gaussian-Mask in Remote Sensing Images

航空场景分类

Attention GANs: Unsupervised Deep Feature Learning for Aerial Scene Classification
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization

遥感场景分类

Remote Sensing Scene Classification by Gated Bidirectional Network
Multisource Compensation Network for Remote Sensing Cross-Domain Scene Classification
A Method for the Analysis of Small Crop Fields in Sentinel-2 Dense Time Series
Deep Multiple Instance Convolutional Neural Networks for Learning Robust Scene Representations
Relation Network for Multilabel Aerial Image Classification
Eagle-Eyed Multitask CNNs for Aerial Image Retrieval and Scene Classification
High-Resolution Remote Sensing Image Scene Classification via Key Filter Bank Based on Convolutional Neural Network
Attribute-Cooperated Convolutional Neural Network for Remote Sensing Image Classification
Assessing the Threat of Adversarial Examples on Deep Neural Networks for Remote Sensing Scene Classification: Attacks and Defenses（对抗样本）
Remote-Sensing Image Scene Classification With Deep Neural Networks in JPEG 2000 Compressed Domain
RS-MetaNet: Deep Metametric Learning for Few-Shot Remote Sensing Scene Classification
Interpretable Rule-Based Fuzzy ELM and Domain Adaptation for Remote Sensing Image Classification
Efficient Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification
More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

遥感图像分割

Pixel-Level Remote Sensing Image Recognition Based on Bidirectional Word Vectors
Triplet Adversarial Domain Adaptation for Pixel-Level Classification of VHR Remote Sensing Images
Semantic Segmentation of Large-Size VHR Remote Sensing Images Using a Two-Stage Multiscale Training Architecture
A MultiKernel Domain Adaptation Method for Unsupervised Transfer Learning on Cross-Source and Cross-Region Remote Sensing Data Classification
Dense Dilated Convolutions’ Merging Network for Land Cover Classification
Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic Segmentation of High-Resolution Aerial Images
Building Footprint Generation by Integrating Convolution Neural Network With Feature Pairwise Conditional Random Field (FPCRF)
A NOVEL APPROACH TO UNSUPERVISED SEGMENTATION OF MULTITEMPORAL VHR IMAGES BASED ON DEEP LEARNING
Iterative Training Sample Expansion to Increase and Balance the Accuracy of Land Classification From VHR Imagery
Unsupervised Deep Joint Segmentation of Multitemporal High-Resolution Images
A Novel Approach to the Unsupervised Extraction of Reliable Training Samples From Thematic Products（训练样本选取）
Adaptive Effective Receptive Field Convolution for Semantic Segmentation of VHR Remote Sensing Images
Domain Adaptive Transfer Attack-Based Segmentation Networks for Building Extraction From Aerial Images
RSNet: The Search for Remote Sensing Deep Neural Networks in Recognition Tasks
DAugNet: Unsupervised, Multisource, Multitarget, and Life-Long Domain Adaptation for Semantic Segmentation of Satellite Images
Class-Guided Feature Decoupling Network for Airborne Image Segmentation
Scene-Driven Multitask Parallel Attention Network for Building Extraction in High-Resolution Remote Sensing Images
Bidirectional Guided Attention Network for 3-D Semantic Detection of Remote Sensing Images
Generative Adversarial Network-Based Full-Space Domain Adaptation for Land Cover Classification From Multiple-Source Remote Sensing Images

遥感图像变化检测

From W-Net to CDGAN: Bitemporal Change Detection via Deep Learning Techniques
Incorporating Metric Learning and Adversarial Network for Seasonal Invariant Change Detection
Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network
Unsupervised Scale-Driven Change Detection With Deep Spatial–Spectral Features for VHR Images

图像匹配

A Residual-Dyad Encoder Discriminator Network for Remote Sensing Image Matching

SAR迁移学习

What, Where, and How to Transfer in SAR Target Recognition Based on Deep CNNs

气象数据

历史数据发现

Improving Historical Data Discovery in Weather Radar Image Data Sets Using Transfer Learning

热带气旋强度估计

Tropical Cyclone Intensity Estimation Using Two-Branch Convolutional Neural Network From Infrared and Water Vapor Images
A Novel Tensor Network for Tropical Cyclone Intensity Estimation

风暴预测

Convolutional Neural Network for Convective Storm Nowcasting Using 3-D Doppler Weather Radar Data

降水估计

Infrared Precipitation Estimation Using Convolutional Neural Network

地理数据

其他

Training a Seismogram Discriminator Based on ResNet

地震数据相分析

ADDCNN: An Attention-Based Deep Dilated Convolutional Neural Network for Seismic Facies Analysis With Interpretable Spatial–Spectral Maps

地质日志

Physics-Constrained Deep Learning of Geomechanical Logs

地震数据点云上采样

Deep Learning for Irregularly and Regularly Missing 3-D Data Reconstruction

地震检测

Intelligent Real-Time Earthquake Detection by Recurrent Neural Networks
Earthquake Detection and P-Wave Arrival Time Picking Using Capsule Neural Network

地震数据反演

Well-Logging Constrained Seismic Inversion Based on Closed-Loop Convolutional Neural Network
A Dynamic Time Warping Loss-Based Closed-Loop CNN for Seismic Impedance Inversion
Data-Driven Seismic Waveform Inversion: A Study on the Robustness and Generalization

地震数据亮点检测（Bright Spot Detection）

A Deep Transfer Learning Framework for Seismic Data Analysis: A Case Study on Bright Spot Detection

地震数据噪声抑制

Low-Frequency Desert Noise Intelligent Suppression in Seismic Data Based on Multiscale Geometric Analysis Convolutional Neural Network Infinite Latent Dirichlet Allocation
Poststack Seismic Data Denoising Based on 3-D Convolutional Neural Network
Generative Adversarial Network for Desert Seismic Data Denoising

油藏模拟超分辨

A Modified Generative Adversarial Nets Integrated With Stochastic Approach for Realizing Super-Resolution Reservoir Simulation

火山地震预测不确定性量化

Volcano-Seismic Transfer Learning and Uncertainty Quantification With Bayesian Neural Networks

地震位置预测

Bayesian-Deep-Learning Estimation of Earthquake Location From Single-Station Observations

点云

点云分割

TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation

点云配准

PLADE: A Plane-Based Descriptor for Point Cloud Registration With Small Overlap
A Novel Framework to Automatically Fuse Multiplatform LiDAR Data in Forest Environments Based on Tree Locations
Compatibility-Guided Sampling Consensus for 3-D Point Cloud Registration
Hierarchical Aggregated Deep Features for ALS Point Cloud Classification

激光雷达点云

Using Weighted Total Least Squares and 3-D Conformal Coordinate Transformation to Improve the Accuracy of Mobile Laser Scanning
A Discriminative Tensor Representation Model for Feature Extraction and Classification of Multispectral LiDAR Data
Accurate Rock-Mass Extraction From Terrestrial Laser Point Clouds via Multiscale and Multiview Convolutional Feature Representation

点云3D树分割

3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm
Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks
Improved Supervised Learning-Based Approach for Leaf and Wood Classification From LiDAR Point Clouds of Forests

点云玉米分类分割

Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks

杆目标提取

Extraction of Street Pole-Like Objects Based on Plane Filtering From Mobile LiDAR Data

其他

温度反演

Estimating Retrieval Errors From Neural Network Inversion Schemes—Application to the Retrieval of Temperature Profiles From IASI

雷达动作识别

Human Motion Recognition With Limited Radar Micro-Doppler Signatures

无人机

ComNet: Combinational Neural Network for Object Detection in UAV-Borne Thermal Images
Micro-Doppler Signature-Based Detection,
Classification, and Localization of Small UAV With Long Short-Term Memory Neural Network

地滚噪声

Self-Supervised Ground-Roll Noise Attenuation Using Self-Labeling and Paired Data Synthesis

底下公共管道

Mapping Subsurface Utility Pipes by 3-D Convolutional Neural Network and Kirchhoff Migration Using GPR Images

太空目标分类

D2N4: A Discriminative Deep Nearest Neighbor Neural Network for Few-Shot Space Target Recognition

时间序列预测

Forecasting Time Series Albedo Using NARnet Based on EEMD Decomposition

地面雷达威胁检测

Application of Convolutional and Recurrent Neural Networks for Buried Threat Detection Using Ground Penetrating Radar Data

电阻数据反演

Deep Learning Inversion of Electrical Resistivity Data
Deep Learning Inversion of Electrical Resistivity Data by One-Sided Mapping

雷达手势识别

Negative Latency Recognition Method for Fine-Grained Gestures Based on Terahertz Radar
Multidimensional Feature Representation and Learning for Robust Hand-Gesture Recognition on Commercial Millimeter-Wave Radar

河冰分割

River Ice Segmentation With Deep Learning

海面回波建模

Modeling of Correlated Complex Sea Clutter Using Unsupervised Phase Retrieval

地雷检测

Landmine Detection Using Autoencoders on Multipolarization GPR Volumetric Data

色散曲线提取

Extracting Dispersion Curves From Ambient Noise Correlations Using Deep Learning

海洋颜色超分辨

Super-Resolution of VIIRS-Measured Ocean Color Products Using Deep Convolutional Neural Network

地表温度融合

Spatiotemporal Fusion of Land Surface Temperature Based on a Convolutional Neural Network
Spatiotemporal Fusion Network for Land Surface Temperature Based on a Conditional Variational Autoencoder

叶绿素荧光

Downscaling Solar-Induced Chlorophyll Fluorescence Based on Convolutional Neural Network Method to Monitor Agricultural Drought

雨量估计

Recurrent Neural Network for Rain Estimation Using Commercial Microwave Links
UNCERTAINTIES IN SHORT COMMERCIAL MICROWAVE LINKS FADING DUE TO RAIN

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