A fuzzy hyperspectral classifier for automatic target recognition (ATR) systems
نویسندگان
چکیده
In this paper we present a fuzzy system based hyperspectral classi®er for automatic target identi®cation. The system is based on partitioning the spectral band space into clusters using a modi®ed fuzzy C-Means clustering algorithm. Classi®cation of each pixel is then carried out by calculating its fuzzy membership in each cluster. The results showed that the fuzzy hyperspectral classi®er is successful in target identi®cation using materials spectrum. Also it provides a fuzzy identi®cation value that can be used later on in the decision-making stage of automatic target recognition (ATR) systems. Ó 1999 Elsevier Science B.V. All rights reserved.
منابع مشابه
A fuzzy hyperspectral classi®er for automatic target recognition (ATR) systems
In this paper we present a fuzzy system based hyperspectral classi®er for automatic target identi®cation. The system is based on partitioning the spectral band space into clusters using a modi®ed fuzzy C-Means clustering algorithm. Classi®cation of each pixel is then carried out by calculating its fuzzy membership in each cluster. The results showed that the fuzzy hyperspectral classi®er is suc...
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ورودعنوان ژورنال:
- Pattern Recognition Letters
دوره 20 شماره
صفحات -
تاریخ انتشار 1999