Three-dimensional positions of scattering centers reconstruction from multiple SAR images based on radargrammetry
来源期刊：中南大学学报(英文版)2015年第5期
论文作者：ZHONG Jin-rong WEN Gong-jian HUI Bing-wei LI De-ren
文章页码：1776 - 1789
Key words：multiple synthetic aperture radar (SAR) images; three-dimensional scattering center; position reconstruction; radargrammetry
Abstract: a method and procedure is presented to reconstruct three-dimensional (3D) positions of scattering centers from multiple synthetic aperture radar (SAR) images. Firstly, two-dimensional (2D) attribute scattering centers of targets are extracted from 2D SAR images. Secondly, similarity measure is developed based on 2D attributed scatter centers’ location, type, and radargrammetry principle between multiple SAR images. By this similarity, we can associate 2D scatter centers and then obtain candidate 3D scattering centers. Thirdly, these candidate scattering centers are clustered in 3D space to reconstruct final 3D positions. Compared with presented methods, the proposed method has a capability of describing distributed scattering center, reduces false and missing 3D scattering centers, and has fewer restrictionson modeling data. Finally, results of experiments have demonstrated the effectiveness of the proposed method.
ZHONG Jin-rong(钟金荣)1, WEN Gong-jian(文贡坚)1, HUI Bing-wei(回丙伟)1, LI De-ren(李德仁)2
(1. Science and Technology on Automatic Target Recognition Laboratory,
National University of Defense Technology, Changsha 410073, China;
2. Key Laboratory of Remote Sensing and Information Engineering,
Remote Sensing Information Engineering College of Wuhan University, Wuhan 430000, China)
Abstract:a method and procedure is presented to reconstruct three-dimensional (3D) positions of scattering centers from multiple synthetic aperture radar (SAR) images. Firstly, two-dimensional (2D) attribute scattering centers of targets are extracted from 2D SAR images. Secondly, similarity measure is developed based on 2D attributed scatter centers’ location, type, and radargrammetry principle between multiple SAR images. By this similarity, we can associate 2D scatter centers and then obtain candidate 3D scattering centers. Thirdly, these candidate scattering centers are clustered in 3D space to reconstruct final 3D positions. Compared with presented methods, the proposed method has a capability of describing distributed scattering center, reduces false and missing 3D scattering centers, and has fewer restrictionson modeling data. Finally, results of experiments have demonstrated the effectiveness of the proposed method.
Key words:multiple synthetic aperture radar (SAR) images; three-dimensional scattering center; position reconstruction; radargrammetry
