A Novel Algorithm of Landmine Detection
A novel algorithm which exploits aspectual invariance and local contrast to discriminate landmines from other man-made targets and natural clutter in Synthetic Aperture Radar (SAR) image is proposed in this paper. Firstly, Azimuth Scattering Entropy (ASE), which measures the characteristic of aspectual invariance, is extracted as a detection feature. The detection threshold is then acquired from the histogram of the ASE image with an auto-adaptation method. The ultimate detection result is obtained by fusing results from aspectual invariance detection and Constant False Alarm Rate (CFAR) detection of the full aperture image. The algorithm concerns with the use of prior information of the to-be-detected targets and provides new thinking for detection scheme in SAR image. The results of experimental data demonstrate the effectiveness and practicability of the proposed algorithm.
Xin-Yun Wang Qian Song Han-Hua Zhang Zhi-Min Zhou
College of Electronic Science and Engineering National University of Defense Technology, Changsha, Hunan 410073, China
国际会议
Progress in Electromagnetics Research Symposium 2014(2014年电磁学研究新进展学术研讨会)
广州
英文
167-170
2014-08-01（万方平台首次上网日期，不代表论文的发表时间）