Title :
Neuro-Fuzzy Logic Application for Hyperspectral Remote Sensing
Author :
Petrosyuk, I.M. ; Podobna, Y.Y. ; Contarino, V.M. ; Molchanov, P.A. ; Asmolova, O.V.
Author_Institution :
National Tech. Univ., Kyiv
Abstract :
This paper reports on a novel approach to the optical information processing for the hyperspectral remote sensing systems by means of developed unification algorithm of the two mathematical tools: the fuzzy logic and the neural network. New neuro-fuzzy classification algorithm for hyperspectral remote sensed images has been proposed. It is able to replace complicated empirical formulae, which require the knowledge of dependences of many input parameters that rapidly change during of range time and difficult for crisp determination
Keywords :
fuzzy logic; image processing; neural nets; optical information processing; remote sensing; crisp determination; fuzzy logic; hyperspectral remote sensing system; neural network; optical information processing; range time; sea floor; surf zone; Classification algorithms; Fuzzy logic; Hyperspectral imaging; Hyperspectral sensors; Information processing; Neural networks; Optical computing; Optical fiber networks; Optical sensors; Remote sensing; fuzzy logic; hyperspectral remote sensing system; neura l network;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location :
Sorrento
Print_ISBN :
0-7803-9359-7
Electronic_ISBN :
1091-5281
DOI :
10.1109/IMTC.2006.328348
