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Semi-realistic simulations of natural hyperspectral scenes

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About this Collection

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" ... more


Image Processing


https://doi.org/10.4225/08/5798752285DDE


2016


2016


Mark Berman
Mark.Berman@data61.csiro.au

hyperspectral simulation linear mixture model endmembers dimensionality


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. https://doi.org/10.4225/08/5798752285DDE


All Rights (including copyright) CSIRO 2016.


The metadata and files (if any) are available to the public.

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About this Project

Legacy


Simulation results


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.


Simulation


MATLAB


Mark Berman


Zhipeng Hao


Yi Guo


Glenn Stone


Iain Johnstone


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