DocumentCode
3181260
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
Volume
2
fYear
2002
fDate
26-30 Aug. 2002
Firstpage
1392
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2002 6th International Conference on
Print_ISBN
0-7803-7488-6
Type
conf
DOI
10.1109/ICOSP.2002.1180052
Filename
1180052
Link To Document