New approach for hyperspectral mineral exploitation

George A. Lampropoulos; Yifeng Li; Shen-en Qian; Allan Bernard Hollinger

doi:10.1117/12.453366

17 January 2002 New approach for hyperspectral mineral exploitation

George A. Lampropoulos, Yifeng Li, Shen-en Qian, Allan Bernard Hollinger

Proceedings Volume 4480, Imaging Spectrometry VII; (2002) https://doi.org/10.1117/12.453366
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

This paper's objective is to present a new, computationally efficient method for automatic exploration, detection and recognition. The automatic mineral homogeneous region separation algorithm developed by A.U.G. Signals in cooperation with the Canadian Space Agency (CSA) using AVIRIS data and mineral signatures from the Nevada's (U.S.) Cuprite site is described. The hyperspectral data and spectral signatures were provided by the Canada Center for Remote Sensing (CCRS). The algorithm is able to successfully divide the image in regions where the mineral composition remains constant. Hence, it can be used for reducing the noise is estimating the abundance parameters of the minerals on a pixel-by-pixel basis, for image region selection and hyperspectral image labeling for data storage and/or selective transmission. This may be another form of lossless hyperspectral image compression. Through the presented approach we are able to: a) divide a hyperspectral image into regions of adaptivity where pixel unmixing algorithms are able to extract the abundance parameters with higher degree of confidence, b) increase the signal to noise ration (SNR) of the present spectral signatures in a region and c) apply the proposed hyperspectral homogeneous region separation for data reduction (hyperspectral image compression). Experimental and theoretical results and comparisons/tradeoff studies are presented.

Citation Download Citation

George A. Lampropoulos, Yifeng Li, Shen-en Qian, and Allan Bernard Hollinger "New approach for hyperspectral mineral exploitation", Proc. SPIE 4480, Imaging Spectrometry VII, (17 January 2002); https://doi.org/10.1117/12.453366

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