Title :
Segmentation and recognition of bridges in high resolution SAR images
Author :
Biao, Hou ; Ying, Li ; Licheng, Jiao
Author_Institution :
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
Abstract :
Based on analyzing the features of SAR images, this paper presents a novel algorithm for automatic segmentation and recognition of bridges in high-resolution SAR images according to the idea of detecting the targets along the edges of the image. At the same time, wavelet analysis is successfully used in prefiltering and denoising; good recognition results are thus obtained
Keywords :
edge detection; image segmentation; interference suppression; object recognition; radar detection; radar imaging; radar resolution; smoothing methods; synthetic aperture radar; wavelet transforms; SAR images; bridge recognition; denoising; edge detection; high resolution SAR; image segmentation; image smoothing; object classification; object recognition; prefiltering; wavelet analysis; Bridges; Image analysis; Image edge detection; Image recognition; Image resolution; Image segmentation; Noise reduction; Synthetic aperture radar; Target recognition; Wavelet analysis;
Conference_Titel :
Radar, 2001 CIE International Conference on, Proceedings
Conference_Location :
Beijing
Print_ISBN :
0-7803-7000-7
DOI :
10.1109/ICR.2001.984747
