Title :
A Neyman-Pearson approach to estimating the number of endmembers
Author :
Broadwater, Joshua ; Banerjee, Amit
Author_Institution :
Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
Abstract :
In this paper, we present a new method for estimating the number of endmembers for identification of materials in hyperspectral imagery. Unlike previous approaches, the proposed algorithm utilizes the Neyman-Pearson framework to estimate the number of endmembers that maximizes the probability of detection for a desired false alarm rate. The method can be used for any target signature, hyperspectral image, and detection algorithm. Results on multiple real-world hyperspectral images and material types will be provided showing the usefulness of the algorithm.
Keywords :
geophysical techniques; minerals; Neyman-Pearson framework; detection algorithm; endmembers; false alarm rate; multiple real-world hyperspectral images; target signature; Detection algorithms; Detectors; Hyperspectral imaging; Hyperspectral sensors; Image analysis; Laboratories; Layout; Length measurement; Physics; Pixel; detection; dimension; endmember;
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
DOI :
10.1109/IGARSS.2009.5417471
