Indian Pines

Hello World
This scene was gathered by AVIRIS sensor over the Indian Pines test site in North-western Indiana and consists of 145 ×\times× 145 pixels and 224 spectral reflectance bands in the wavelength range 0.4–2.5 10 −6^{-6}−6 meters. This scene is a subset of a larger one. The Indian Pines scene contains two-thirds agriculture, and one-third forest or other natural perennial vegetation. There are two major dual lane highways, a rail line, as well as some low density housing, other built structures, and smaller roads. Since the scene is taken in June some of the crops present, corn, soybeans, are in early stages of growth with less than 5% coverage. The ground truth available is designated into sixteen classes and is not all mutually exclusive. We have also reduced the number of bands to 200 by removing bands covering the region of water absorption: [104-108], [150-163], 220. Indian Pines data are available through Pursue’s univeristy MultiSpec site.

Download MATLAB data files: Indian Pines (6.0 MB) | corrected Indian Pines (5.7 MB) | Indian Pines groundtruth (1.1 KB)
(链接：https://pan.baidu.com/s/1JZOkoUcG8mH42dSznSiYHw 提取码：xtfc )
Groundtruth classes for the Indian Pines scene and their respective samples number

#	Class	Sample
1	Alfalfa	46
2	Corn-notill	1428
3	Corn-mintill	830
4	Corn	237
5	Grass-pasture	483
6	Grass-trees	730
7	Grass-pasture-mowed	28
8	Hay-windrowed	478
9	Oats 20
10	Soybean-notill	972
11	Soybean-mintill	2455
12	Soybean-clean	593
13	Wheat	205
14	Woods	1265
15	Buildings-Grass-Trees-Drives	386
16	Stone-Steel-Towers	93

Salinas scene

This scene was collected by the 224-band AVIRIS sensor over Salinas Valley, California, and is characterized by high spatial resolution (3.7-meter pixels). The area covered comprises 512 lines by 217 samples. As with Indian Pines scene, we discarded the 20 water absorption bands, in this case bands: [108-112], [154-167], 224. This image was available only as at-sensor radiance data. It includes vegetables, bare soils, and vineyard fields. Salinas groundtruth contains 16 classes.
Download MATLAB data files: Salinas (26.3 MB) | corrected Salinas (25.3 MB) | Salinas groundtruth (4.2 KB)
链接：https://pan.baidu.com/s/1_dBhy05UEnEZHfMaGEptvA 提取码：3a5a
Groundtruth classes for the Salinas scene and their respective samples number

#	Class	Sample
1	Brocoli_green_weeds_1	2009
2	Brocoli_green_weeds_2	3726
3	Fallow	1976
4	Fallow_rough_plow	1394
5	Fallow_smooth	2678
6	Stubble	3959
7	Celery	3579
8	Grapes_untrained	11271
9	Soil_vinyard_develop	6203
10	Corn_senesced_green_weeds	3278
11	Lettuce_romaine_4wk	1068
12	Lettuce_romaine_5wk	1927
13	Lettuce_romaine_6wk	916
14	Lettuce_romaine_7wk	1070
15	Vinyard_untrained	7268
16	Vinyard_vertical_trellis	1807

Salinas-A scene

An small subscene of Salinas image, denoted Salinas-A, is usually used too. It comprises 86*83 pixels located within the same scene at [samples, lines] = [591-676, 158-240] and includes six classes.
Download MATLAB data files: Salinas-A (1.5 MB) | corrected Salinas-A (1.5 MB) | Salinas-A groundtruth (587 Bytes)
链接：https://pan.baidu.com/s/1_ZmveAi_356DVY1UWl_Lpg 提取码：d9jj
Groundtruth classes for the Salinas-A scene and their respective samples number

#	Class	Sample
1	Brocoli_green_weeds_1	391
2	Corn_senesced_green_weeds	1343
3	Lettuce_romaine_4wk	616
4	Lettuce_romaine_5wk	1525
5	Lettuce_romaine_6wk	674
6	Lettuce_romaine_7wk	799

Pavia Centre and University

These are two scenes acquired by the ROSIS sensor during a flight campaign over Pavia, nothern Italy. The number of spectral bands is 102 for Pavia Centre and 103 for Pavia University. Pavia Centre is a 10961096 pixels image, and Pavia University is 610610 pixels, but some of the samples in both images contain no information and have to be discarded before the analysis. The geometric resolution is 1.3 meters. Both image groundtruths differenciate 9 classes each. It can be seen the discarded samples in the figures as abroad black strips.
Pavia scenes were provided by Prof. Paolo Gamba from the Telecommunications and Remote Sensing Laboratory, Pavia university (Italy).

Pavia Centre scene

Download MATLAB data files: Pavia Centre (123.6 MB) | Pavia Centre groundtruth (34.1 KB)
链接：https://pan.baidu.com/s/155pHOZLWJse4ylZCpGhILg 提取码：edxv
Groundtruth classes for the Pavia centre scene and their respective samples number

#	Class	Sample
1	Water	824
2	Trees	820
3	Asphalt	816
4	Self-Blocking Bricks	808
5	Bitumen	808
6	Tiles	1260
7	Shadows	476
8	Meadows	824
9	Bare Soil	820

Pavia University scene

Download MATLAB data files: Pavia University (33.2 MB) | Pavia University groundtruth (10.7 KB)
链接：https://pan.baidu.com/s/1LWcf4ogMCgjdYEfBSy5-eA 提取码：jtmv
Groundtruth classes for the Pavia University scene and their respective samples number

#	Class	Sample
1	Asphalt	6631
2	Meadows	18649
3	Gravel	2099
4	Trees	3064
5	Painted metal sheets	1345
6	Bare Soil	5029
7	Bitumen	1330
8	Self-Blocking Bricks	3682
9	Shadows	947

Cuprite

(1)
This data sets can be retrieved from AVIRIS NASA site. Among the many datasets available, the .mat archive posted here corresponds to the f970619t01p02_r02_sc03.a.rfl reflectance file.
Download MATLAB data file: Cuprite (95.3 MB)
链接：https://pan.baidu.com/s/1GYeFhQ4H5x3yBudFJA4FSA 提取码：bzod
(2)
Cuprite (available form website) is the most benchmark dataset for the hyperspectral unmixing research that covers the Cuprite in Las Vegas, NV, U.S. There are 224 channels, ranging from 370 nm to 2480 nm. After removing the noisy channels (1–2 and 221–224) and water absorption channels (104â€“113 and 148â€“167), we remain 188 channels. Aregion of 250 x 190 pixels is considered, where there are 14 types of minerals. Since there are minor differences between variants of similar minerals, we reduce the number of endmembers to 12, which are summarized as follows “#1 Alunite”, “#2 Andradite”, “#3 Buddingtonite”, “#4 Dumortierite”, “#5 Kaolinite1”, “#6 Kaolinite2”, “#7 Muscovite”, “#8 Montmorillonite”, “#9 Nontronite”, “#10 Pyrope”, “#11 Sphene”, “#12 Chalcedony”.

Dataset:
Data in the Envi format with 224 channels: Cuprite_S1_F224.zip (14.0Mb)
Data in the Envi format with 188 channels: Cuprite_S1_R188.zip (12.9Mb)
Data in the Matlab format with 224 channels: Cuprite_S1_F224.mat (15.4Mb)
Data in the Matlab format with 188 channels: Cuprite_S1_R188.mat (13.7Mb)
Ground Truth: GroundTruth (438Kb) only includes GT:endmembers.

Kennedy Space Center (KSC)

The NASA AVIRIS (Airborne Visible/Infrared Imaging Spectrometer) instrument acquired data over the Kennedy Space Center (KSC), Florida, on March 23, 1996. AVIRIS acquires data in 224 bands of 10 nm width with center wavelengths from 400 - 2500 nm. The KSC data, acquired from an altitude of approximately 20 km, have a spatial resolution of 18 m. After removing water absorption and low SNR bands, 176 bands were used for the analysis. Training data were selected using land cover maps derived from color infrared photography provided by the Kennedy Space Center and Landsat Thematic Mapper ™ imagery. The vegetation classification scheme was developed by KSC personnel in an effort to define functional types that are discernable at the spatial resolution of Landsat and these AVIRIS data. Discrimination of land cover for this environment is difficult due to the similarity of spectral signatures for certain vegetation types. For classification purposes, 13 classes representing the various land cover types that occur in this environment were defined for the site.

Take a fast look to the data!
Download MATLAB data file: Kennedy Space Center (KSC) (56.8 MB)
Download MATLAB ground truth file: KSC gt (3.2 kB)
链接：https://pan.baidu.com/s/11ojslF2aRQKeBcxW8bM_5g 提取码：pdu3

Botswana

The NASA EO-1 satellite acquired a sequence of data over the Okavango Delta, Botswana in 2001-2004. The Hyperion sensor on EO-1 acquires data at 30 m pixel resolution over a 7.7 km strip in 242 bands covering the 400-2500 nm portion of the spectrum in 10 nm windows. Preprocessing of the data was performed by the UT Center for Space Research to mitigate the effects of bad detectors, inter-detector miscalibration, and intermittent anomalies. Uncalibrated and noisy bands that cover water absorption features were removed, and the remaining 145 bands were included as candidate features: [10-55, 82-97, 102-119, 134-164, 187-220]. The data analyzed in this study, acquired May 31, 2001, consist of observations from 14 identified classes representing the land cover types in seasonal swamps, occasional swamps, and drier woodlands located in the distal portion of the Delta.

Take a fast look to the data!
Download MATLAB data file: Botswana (78.9 MB)
Download MATLAB ground truth file: Botswana gt (4.0 kB)
链接：https://pan.baidu.com/s/10QnU9V9OvDYppb4jmMkUKg 提取码：14ct

Washington DC MALL

The figure here shows a simulated color IR view of an airborne hyperspectral data flightline over the
Washington DC Mall provided with the permission of Spectral Information Technology Application Center of
Virginia who was responsible for its collection. The sensor system used in this case measured pixel response in 210 bands in the 0.4 to 2.4 µm region of the visible and infrared spectrum. Bands in the 0.9 and 1.4 µm region where the atmosphere is opaque have been omitted from the data set, leaving 191 bands. The data set contains 1208 scan lines with 307 pixels in each scan line. It totals approximately 150 Megabytes. The image at left was made using bands 60, 27, and 17 for the red, green, and blue colors respectively.

191 Band Hyperspectral Image: HYDICE image of Washington DC Mall
(1) Washington DC Mall Image (145 MB)
链接：https://pan.baidu.com/s/1t1IjuQZZ0k-2GSB_xzROCQ 提取码：uogr
(2) Wavelengths for HYDICE Data
链接：https://pan.baidu.com/s/1-k7IZP_RXXNdx1bXaIAS-g 提取码：ub8i

DATASETS FOR UNMIXING

It needs to be mentioned that all these datasets are from this website: http://www.escience.cn/people/feiyunZHU/Dataset_GT.html

The above picuture shows four real hyperspectral images. We give the real dataset in the format of “.img” (Envi) and “.mat” (Matlab). Besides, we provide the corresponding ground truths, which are achieved via the method provided in [SenJia1, SenJia2,SS-NMF].

1: Samson

Samson is a simple dataset that is available from the website. In this image, there are 952x 952 pixels. Each pixel is recorded at 156 channels covering the wavelengths from 401 nm to 889 nm. The spectral resolution is highly up to 3.13 nm. As the original image is too large, which is very expensive in terms of computational cost, a region of 95 x 95 pixels is used. It starts from the (252,332)-th pixel in the original image. This data is not degraded by the blank channel or badly noised channels. Specifically, there are three targets in this image, i.e. “#1 Soil”, “#2 Tree” and “#3 Water” respectively.

Fig. Samson and its ground truths (GT:abundances and GT:endmembers).
Dataset:
(1) Data in the Envi format with 156 channels: Data_Envi.zip (1.47Mb)
(2) Data in the Matlab format with 156 channels: Data_Matlab.zip (3.41Mb)
(3) Ground Truth: GroundTruth.zip (275Kb) includes GT:abundances and GT:endmembers.
链接：https://pan.baidu.com/s/1tkXz4PyuMubwRjfmdrty6w 提取码：8pi3

Japser Ridge

Jasper Ridge is a popular hyperspectral data used in [enviTutorials, SS-NMF, DgS-NMF,RRLbS, L1-CENMF]. There are 512 x 614 pixels in it. Each pixel is recorded at 224 channels ranging from 380 nm to 2500 nm. The spectral resolution is up to 9.46nm. Since this hyperspectral image is too complex to get the ground truth, we consider a subimage of 100 x 100 pixels. The first pixel starts from the (105,269)-th pixel in the original image. After removing the channels 1–3, 108–112, 154–166 and 220–224 (due to dense water vapor and atmospheric effects), we remain 198 channels (this is a common preprocess for HU analyses). There are four endmembers latent in this data: “#1 Road”, “#2 Soil”, “#3 Water” and “#4 Tree”.

Dataset:
Data in the Envi format with 198 channels: jasperRidge2_R198.zip (2.87Mb)
Data in the Envi format with 224 channels: jasperRidge2_F224.zip (2.98Mb)
Data in the Matlab format with 198 channels: jasperRidge2_R198.mat (2.84Mb)
Data in the Matlab format with 224 channels: jasperRidge2_F224.mat (3.01Mb)
Ground Truth: GroundTruth.zip (364Kb) includes GT:abundances and GT:endmembers.
链接：https://pan.baidu.com/s/1cn-Ubj_U66IUzqTofYqkZA
提取码：tcxa

Urban

Urban is one of the most widely used hyperspectral data used in the hyperspectral unmixing study. There are 307 x 307 pixels, each of which corresponds to a 2 x 2 m2area. In this image, there are 210 wavelengths ranging from 400 nm to 2500 nm, resulting in a spectral resolution of 10 nm. After the channels 1–4, 76, 87, 101–111, 136–153 and 198–210 are removed (due to dense water vapor and atmospheric effects), we remain 162 channels (this is a common preprocess for hyperspectral unmixing analyses). There are three versions of ground truth, which contain 4, 5 and 6 endmembers respectively, which are introduced in the ground truth.

Dataset:
（1） Data in the Envi format with 221 channels: Urban_F210.zip (19.5Mb)
（2） Data in the Matlab format with 162 channels: Urban_R162.mat (16.9Mb)
（3） Data in the Matlab format with 221 channels: Urban_F210.mat (21.8Mb)
Ground Truth: three versions, including 4, 5 and 6 endmembers respectively…
（1） 4 endmembers version: GroundTruth (3.7Mb). The 4 endmembers are “#1 Asphalt”, “#2 Grass”, “#3 Tree” and “#4 Roof” respectively.
（2） 5 endmembers version: GroundTruth (3.65Mb). The 5 endmembers are “#1 Asphalt”, “#2 Grass”, “#3 Tree”, “#4 Roof” and “#5 Dirt” respectively.
（3） 6 endmembers version: GroundTruth (3.92Mb). The 6 endmembers are “#1 Asphalt”, “#2 Grass”, “#3 Tree”, “#4 Roof”, “#5 Metal”, and “6 Dirt” respectively.
链接：https://pan.baidu.com/s/1eWxK_X-1m_tdZ6FlWqPxhA

HSI SYNTHESIS TOOLS for MATLAB (for Unmixing)

It needs to be mentioned that all these datasets are from the website:
http://www.ehu.eus/ccwintco/index.php?title=Hyperspectral_Imagery_Synthesis_tools_for_MATLAB
Download the latest Hyperspectral Imagery Synthesis toolbox for MATLAB here: Download (41.74 Mb)

This software is distributed under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. The Synthesis tools package has been actually developed with MATLAB 7.4 software (http://www.mathworks.com/) and a licensed copy is needed to use it.
If you are using the Hyperspectral Imagery Synthesis toolbox for your scientific research, please reference it as follows:
Hyperspectral Imagery Synthesis (EIAs) toolbox.
Grupo de Inteligencia Computacional, Universidad del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU), Spain. http://www.ehu.es/ccwintco/index.php/Hyperspectral_Imagery_Synthesis_tools_for_MATLAB

Copyright 2010 Grupo Inteligencia Computacional, Universidad del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU).
IC Synthetic Hyperspectral CollectionHere you can find a set of hyperspectral synthetic images generated by the “Synthesis tools” package. All these synthetic images have been generated using five selected endmembers from the USGS spectral library included in the “Synthesis tools” package (see figure above). Each image’s spatial dimensions are of 128x128 pixels and they have 431 spectral bands. The hyperspectral synthetic image collections are distributed in ZIP files containing five MAT files each. One of this MAT files corresponds to the free of noise hyperspectral synthetic image, and in the other four additive noise has been added to the synthetic image given a Signal to Noise Ratio (SNR) of 20, 40, 60 and 80db respectively.

The IC Synthetic Hyperspectral Collections:
Legendre: download (247.4 Mb)
Spheric Gaussian Field: download (255.0 Mb)
Exponential Gaussian Field: download (256.2 Mb)
Rational Gaussian Field: download (256.5 Mb)
Matern Gaussian Field: download (255.2 Mb)

好的呀

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Hyperspectral imagery dataset