Title :
SAR image feature extraction and classification with fractal-based description
Author :
Xu, Jia ; Lu, Ling ; Feng, Zhenming ; Peng, Yingning
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
In the field of synthetic aperture radar (SAR) image analysis, an effective feature extraction method based on a fractal Brownian increment random field (FBRIR) is introduced, and an effective classification method with a neuron network based on adaptive resonance theory (ART) is designed accordingly. At last the validity of this systematic approach is tested and compared using real data of Ku band SAR images.
Keywords :
ART neural nets; feature extraction; fractals; image classification; radar imaging; synthetic aperture radar; FBRIR; Ku band; SAR image feature extraction; adaptive resonance theory; classification; fractal Brownian increment random field; fractal-based description; image analysis; neuron network; synthetic aperture radar; Backscatter; Feature extraction; Fractals; Image motion analysis; Image texture analysis; Land surface; Sea surface; Stochastic processes; Synthetic aperture radar; Target recognition;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1180052
