SAR image matching algorithm based on Contourlet energy pyramid and improved Hausdorff distance - Details

Author：

Wu, Qiang (Wu, Qiang.) | Zhang, Can (Zhang, Can.) | Li, Xuwen (Li, Xuwen.) | Wang, Xiaozhou (Wang, Xiaozhou.) | Jia, Kebin (Jia, Kebin.) (Scholars：贾克斌)

Indexed by：

EI PKU CSCD

Abstract：

SAR　image　matching　was　studied　to　improve　the　matching　precision　and　the　matching　efficient　of　SAR　image　matching　systems.　The　pyramid　structure　based　on　the　Contourlet　decomposition　was　applied　to　SAR　image　matching　and　the　energy　pyramid　image　matching　algorithm　based　on　Contourlet　transform　was　presented.　In　addition,　aiming　at　the　similarity　measurement　methods,　the　robust　hausdorff　distance　(RHD)　was　studied　emphatically,　and　a　RHD　outlier　point　threshold　selection　method　was　proposed　and　the　Hausdorff　distance　(HD)　was　improved.　And　then,　a　new　SAR　image　matching　algorithm　based　on　the　Contourlet　energy　pyramid　and　the　improved　Hausdorff　distance　was　put　forward.　The　experiments　and　comparisons　validate　the　better　robustness　and　high　matching　precision　of　the　new　algorithm,　so　it　can　meet　the　requirements　of　SAR　image　matching　systems.

Keyword：

Synthetic aperture radar Image matching Image enhancement Radar imaging Geometry

Author Community：

[ 1 ] [Wu, Qiang]College of Electronic and Control Engineering of Beijing University of Technology, Beijing 100124, China
[ 2 ] [Zhang, Can]College of Electronic and Control Engineering of Beijing University of Technology, Beijing 100124, China
[ 3 ] [Li, Xuwen]College of Life Science and Bio-Engineering, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Wang, Xiaozhou]College of Electronic and Control Engineering of Beijing University of Technology, Beijing 100124, China
[ 5 ] [Jia, Kebin]College of Electronic and Control Engineering of Beijing University of Technology, Beijing 100124, China