@inproceedings{0ded1afe82d942419a9b88e2cf0ab48d,
title = "Evaluations of classification and spectral unmixing algorithms using ground based satellite imaging",
abstract = "Abundances of material components in objects are usually computed using techniques such as linear spectral unmixing on individual pixels captured on hyperspectral imaging devices. However, algorithms such as unmixing have many flaws, some due to implementation, and others due to improper choices of the spectral library used in the unmixing (as well as classification). There may exist other methods for extraction of this hyperspectral abundance information. We propose the development of spatial ground truth data from which various unmixing algorithm analyses can be evaluated. This may be done by implementing a three-dimensional hyperpspectral discrete wavelet transform (HSDWT) with a low-complexity lifting method using the Haar basis. Spectral unmixing, or similar algorithms can then be evaluated, and their effectiveness can be measured by how well or poorly the spatial and spectral characteristics of the target are reproduced at full resolution (which becomes single object classification by pixel).",
keywords = "Hyperspectral signal processing, Remote sensing, Spectral unmixing, Wavelet transforms",
author = "Scholl, {James F.} and Hege, {E. Keith} and Michael Lloyd-Hart and Daniel O'Connell and Johnson, {William R.} and Dereniak, {Eustace L.}",
year = "2006",
doi = "10.1117/12.664954",
language = "English (US)",
isbn = "0819462896",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII",
note = "Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII ; Conference date: 17-04-2006 Through 20-04-2006",
}