Change detection for urban analysis with high resolution imagery: Homomorphic filtering and morphological operation approach

被引:0
作者
Ryu, HY [1 ]
Lee, K [1 ]
Kwon, BD [1 ]
机构
[1] Seoul Natl Univ, Dept Earth Sci Educ, Seoul 151, South Korea
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
component; homomorphic filtering; morphology; change detection; high resolution imagery;
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
In these days, the demand on methodologies and processing schemes for urban application or analysis using high spatial resolution imagery is increasing. In fact, most methodologies for intermediate or coarse spatial resolution l imagery can also be applied for high-resolution one, and some processing methods among them show practical usefulness over those imagery data. In use of high spatial resolution imagery, change detection based on accurate extraction of target features of interests in a certain region including complex urban area or inaccessible area is of importance. For this change detection approach, two processing techniques such as homomorphic filtering and morphological operations are considered in this study. After applied with other basic image rectification processing, homomorphic filtering which combines non-linear mapping function and spatial frequency filtering is helpful to reveal distinct characteristics for some complicated and multiassociated features on high spatial resolution imagery, and then morphological operations are fast and efficient processing method to detect change with homomorphic filtered and multitemporal imagery datasets. As results, this approach with both techniques is thought to be one of the applicable schemes for change detection problem with high spatial resolution imagery in the aspects of increased accuracy and automatic extraction of target features.
引用
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页码:2662 / 2664
页数:3
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