Abstract:
N-FINDER algorithm is widely used for endmember extraction. One of the disadvantages of N- FINDER is that its implementations take long run time due to the relatively lar...Show MoreMetadata
Abstract:
N-FINDER algorithm is widely used for endmember extraction. One of the disadvantages of N- FINDER is that its implementations take long run time due to the relatively large computational complexity of N- FINDER. Successfully reducing the size of the input data set -the hyperspectral image that the algorithm works on can reduce the overall run time of the algorithm. A method for successfully selecting the proper sample of the data set to work on is provided in this paper. Using this reduction technique, a faster and statistically more accurate version of N-FINDER is presented.
Published in: 2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
Date of Conference: 14-17 December 2011
Date Added to IEEE Xplore: 13 February 2012
ISBN Information:
Print ISSN: 2162-7843
Contents 