Sponsored by the National Natural Science Foundation of China(Grant No. 60272073, 60402025 and 60802059);by Foundation for the Doctoral Program of Higher Education of China (Grant No. 200802171003)
A new sub-pixel mapping method based on BP neural network is proposed in order to determine the spatial distribution of class components in each mixed pixel.The network was used to train a model that describes the rel...
This work is supported by the National Natural Science Foundation of China (No.60402025 and No.60302019).
Least squares support vector machines (LSSVM) is widely used in pattern recognition and artificial intelligence domain in recent years for its efficiency in classification and regression. The solution of LSSVM is an...
Sponsored by the National Natural Science Foundation of China (Grant No 60402025 and 60302019)
N-FINDR is a very popular algorithm of endmember (EM) extraction for its automated property and high efficiency. Unfortunately, innumerable volume calculation, initial random selection of EMs and blind searching for E...
This work is supported in part by the National Natural Science Foundation of China (NSFC) (No.60402025 and No.60472048), and supported by Development Program for 0utstanding Young Teachers in Harbin Institute of Technology, and Aeronautic Science Foundation.
In this paper, a kernel-based subspace detection algorithm is proposed for hyperspectral subpixel target detection, which combines Kernel principal component analysis (KPCA) with Linear mixture model (LMM). The LM...