Title :
Target detection based on D-S evidential theory using fusion of SAR & optical images
Author :
Yunfeng, Wang ; Jianguo, Wang ; Shunji, Huang ; Xixiang, Zhang
Author_Institution :
Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
In this paper both SAR and optical images are used, based on D-S (Dempster-Shafer) evidential theory, to detect targets such as linear objects and homogenous regions. We give the algorithm of mass function on D-S evidential theory and use the orthogonal rule to combine the two evidences. The experimental results on selected images, which are marked by different colors to discriminate different target areas, demonstrate its potential usefulness
Keywords :
case-based reasoning; feature extraction; image processing; optical images; radar detection; radar imaging; sensor fusion; synthetic aperture radar; uncertainty handling; D-S evidential theory; Dempster-Shafer evidential theory; SAR images; feature extraction operators; homogenous region detection; image fusion; linear object detection; mass function algorithm; multisensor data fusion; optical images; orthogonal rule; synthetic aperture radar; target area discrimination; target detection; Data mining; Feature extraction; Image edge detection; Image segmentation; Neural networks; Object detection; Optical sensors; Pixel; Sensor fusion; Sensor phenomena and characterization;
Conference_Titel :
Radar, 2001 CIE International Conference on, Proceedings
Conference_Location :
Beijing
Print_ISBN :
0-7803-7000-7
DOI :
10.1109/ICR.2001.984815
