A Novel Preprocessing Method for Vehicular- Mounted Forward-Looking UWB SAR System
The forward-looking ground penetrating radar (FLGPR)has been widely considered as an applicable landmines detection technology,but the self-signature and the strong ground clutter will severely degrade the SAR image.We present a novel method for interference and ground clutter suppression in the image domain based on the distance-band partition and iterative operation techniques,which can realize the parallel processing and adaptive update of the parameters on line.By using the prop- erty of FLGPR systems that the same spatial region is observed several times at different standoff distances,we exploit a range multi-look processing based on the iterative technique to obtain the high quality image.The proposed method in this paper is adaptive and efficient enough to work in a real-time operational scenario,so it can effectively meet the needs of the preprocessing in the vehicular-mounted forward-looking (VMFL)detection sys- tem.The effectiveness of our approaches is demonstrated with an experimental data set.
Image Preprocessing Adaptive Interference Suppression Multi-look Processing Iterative Operation
Yanguang Yang Zhimin Zhou Qian Song Tian Jin Jian Wang
School of Electronic Science and Engineering National University of Defense Technology Changsha,410073,China
国际会议
2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)
张家界
英文
530-534
2008-06-20（万方平台首次上网日期，不代表论文的发表时间）