A Fuzzy Vlsi Architecture for Multi- and Hyperspectral Image Classification
نویسندگان
چکیده
This paper describes a VLSI architecture for classification of multiand hyperspectral imagery using Fuzzy Logic with trapezoidal membership functions. The fuzzy classifier is implemented using a rule-based approach, where each class is defined as a set of sub rules. There is only one sub rule associated to each band within a class. Each sub rule is implemented as a dedicated parallel hardware. A prototype of the proposed classifier was built using Field Programmable Gate Arrays (FPGAs) Xilinx Spartan-II. As a case study, this prototype was constructed as an eight-band image classifier capable to distinguish among four classes of interest and one rejection class.
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