Title :
An algorithm for SAR image segmentation
Author :
Li Xiaochun ; Jing, Chen
Author_Institution :
Southwest Inst. of Electron & Telecom Techniques, Nat. Key Lab., Chengdu, China
Abstract :
An algorithm for SAR image segmentation is proposed on the basis of features of SAR image and Bayesian detection theory. The algorithm consists of two steps: first, segmentation threshold is decided by using method proposed in this paper; second, blurred enhancement SAR image is segmented by using segmentation threshold acquired in one step to detect interesting objects, which is strongly reflecting objects. After lots of experiment, simulation results show that the algorithm can detect effectively strongly reflecting objects for SAR image, and restrain effectively clutter background.
Keywords :
image enhancement; image recognition; image segmentation; radar imaging; synthetic aperture radar; Bayesian detection theory; SAR image segmentation; blurred enhancement; fuzzy enhancement; object detection; segmentation threshold; Adaptive optics; Bayesian methods; Electrons; Gamma ray detection; Gamma ray detectors; Image edge detection; Image segmentation; Object detection; Optical noise; Telecommunications;
Conference_Titel :
Microwave and Millimeter Wave Technology, 2004. ICMMT 4th International Conference on, Proceedings
Print_ISBN :
0-7803-8401-6
DOI :
10.1109/ICMMT.2004.1411612