Fast algorithm for spectral mixture analysis of imaging spectrometer data

Theo E. Schouten; Maurice S. Klein Gebbinck; Z. K. Liu; Shaowei Chen

doi:10.1117/12.262887

17 December 1996 Fast algorithm for spectral mixture analysis of imaging spectrometer data

Theo E. Schouten, Maurice S. Klein Gebbinck, Z. K. Liu, Shaowei Chen

Proceedings Volume 2955, Image and Signal Processing for Remote Sensing III; (1996) https://doi.org/10.1117/12.262887
Event: Satellite Remote Sensing III, 1996, Taormina, Italy

Abstract

Imaging spectrometers acquire images in many narrow spectral bands but have limited spatial resolution. Spectral mixture analysis (SMA) is used to determine the fractions of the ground cover categories (the end-members) present in each pixel. In this paper a new iterative SMA method is presented and tested using a 30 band MAIS image. The time needed for each iteration is independent of the number of bands, thus the method can be used for spectrometers with a large number of bands. Further a new method, based on K-means clustering, for obtaining endmembers from image data is described and compared with existing methods. Using the developed methods the available MAIS image was analyzed using 2 to 6 endmembers.

Citation Download Citation

Theo E. Schouten, Maurice S. Klein Gebbinck, Z. K. Liu, and Shaowei Chen "Fast algorithm for spectral mixture analysis of imaging spectrometer data", Proc. SPIE 2955, Image and Signal Processing for Remote Sensing III, (17 December 1996); https://doi.org/10.1117/12.262887

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