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Semi-realistic simulations of natural hyperspectral scenes
These data sets have been simulated to appear similar to natural real world data sets, but with known characteristics. In particular, the number of endmembers is known. The data are stored in Matlab format and further compressed as a zip file. The name of each data set has the format "name_subnwv_simnems.mat.zip", where
"name" ... moreis a shorthand name for the corresponding real world data set;
"nwv" is the number of wavelengths/bands in the simulated data set; and
"nems" is the number of endmembers used in the simulated data set.
In addition, the Mt. Isa data set, which does not cover the full rectangle, has associated with it a binary mask, "mtisa_mask.mat.zip", over which any analysis should be applied. less
linear mixture model
The simulations were produced using a methodology described in
Hao, Z., Berman, M., Guo, Y., Stone, G. and Johnstone, I. (2016), Semi-realistic simulations of natural hyperspectral scenes. IEEE Journal of Selected Topics in Applied Remote Sensing. To appear.
The real world scenes on which the simulated data are based can be found at:
Cuprite: http://aviris.jpl.nasa.gov/data/free_data.html. The reflectance data have been downloaded and subscene f970619t01p02 r02 sc03.a.rfl has been used.
Indian Pines: https://purr.purdue.edu/publications/1947/1. The data set is called 19920612_AVIRIS_IndianPine_Site3.tif.
Mt. Isa: This is a subscene that we have extracted from a much larger HyMap data set, which is available at http://c3dmm.csiro.au/NGMM/.
Creative Commons Attribution 4.0 International Licence
CSIRO (Australia), Western Sydney University (Australia), Stanford University (United States)
Berman, Mark; Hao, Zhipeng; Guo, Yi; Stone, Glenn; Johnstone, Iain (2016): Semi-realistic simulations of natural hyperspectral scenes. v1. CSIRO. Data Collection.
All Rights (including copyright) CSIRO 2016.
The metadata and files (if any) are available to the public.
Simulation tests are carried out to evaluate the proposed adaptive algorithm which is able to mitigate adjacent-frequency interference. MATLAB software is used in the tests, and generates the results.
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