Application of M-band wavelet theory to texture analysis in content-based aerial image retrieval

被引：0
|
作者：
Cheng, QM [1 ]
Yang, CJ [1 ]
Chen, FX [1 ]
Shao, ZF [1 ]
机构：
[1] CAS, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Informat Sci, Beijing, Peoples R China
来源：
IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET | 2004年
关键词：
M-band wavelet; content-based image retrieval; texture feature extraction; aerial image database;
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
With the rapid development of 3S technologies, content-based retrieval from remote sensing images provides an important means of information acquisition and sharing and has become a key technology in digital earth construction. This paper puts the emphasis on using texture features for retrieval of aerial image database. M-band wavelet theory is introduced and M-band wavelet histogram technology is applied to texture extraction. Some experimental results are given to evaluate the retrieval performance of our method and to compare with that of method based on traditional two-band wavelet transform, followed by conclusions.
引用
收藏
页码：2163 / 2165
页数：3
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