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 "", where "name" ... more

Image Processing



Mark Berman

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: The reflectance data have been downloaded and subscene f970619t01p02 r02 sc03.a.rfl has been used. Indian Pines: 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

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.

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About this Project


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.



Mark Berman

Zhipeng Hao

Yi Guo

Glenn Stone

Iain Johnstone

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