A Characteristic-Matching Algorithm of Radar DBS Images Based on Strong Scattering Points
被引:0
|
作者:
Gao Shan
论文数: 0引用数: 0
h-index: 0
机构:
Xian Elect Engn Res Inst, Xian 710100, Peoples R ChinaXian Elect Engn Res Inst, Xian 710100, Peoples R China
Gao Shan
[1
]
Luo Dingli
论文数: 0引用数: 0
h-index: 0
机构:
Xian Elect Engn Res Inst, Xian 710100, Peoples R ChinaXian Elect Engn Res Inst, Xian 710100, Peoples R China
Luo Dingli
[1
]
Ruan Feng
论文数: 0引用数: 0
h-index: 0
机构:
Xian Elect Engn Res Inst, Xian 710100, Peoples R ChinaXian Elect Engn Res Inst, Xian 710100, Peoples R China
Ruan Feng
[1
]
机构:
[1] Xian Elect Engn Res Inst, Xian 710100, Peoples R China
来源:
PROCEEDINGS OF 2010 INTERNATIONAL SYMPOSIUM ON IMAGE ANALYSIS AND SIGNAL PROCESSING
|
2010年
关键词:
DBS image;
strong scattering points;
relationship of geometrical position;
characteristic-matching;
D O I:
暂无
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
A novel characteristic-matching algorithm for radar DBS images based on strong scattering points is proposed in this paper. Matching and orientation of objects is realized by exacting strong scattering points with the grey-scale characters of the image and a combing relationship of their geometrical position. Experiments verify that the method is lower operation and higher precision. It is also effective and robust. In addition, it satisfies DBS image recognition of radar seeker and has a more important project reference value.