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Semi-realistic simulations of natural hyperspectral scenes

  • Mark Berman (CSIRO) (Creator)
  • Zhipeng Hao (Creator)
  • Yi Guo (Creator)
  • Glenn Stone (Creator)
  • Iain Johnstone (Creator)

Dataset

Description

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" is 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.
Date made available2016
PublisherCSIRO

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  • 1 Conference Paper

  • Semi-realistic simulations of natural hyperspectral scenes

    Hao, Z., Berman, M., Guo, Y., Stone, G. & Johnstone, I., 2015, Remote Sensing : Understanding the Earth for a Safer World, Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS 2015), 26-31 July, 2015, Milan, Italy. IEEE, p. 1004-1007 4 p.

    Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

    2 Citations (Scopus)

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