DETECTION OF FLOODED AREAS FROM MULTITEMPORAL SAR IMAGES

被引：0
|
作者：
Kalpana, N. [1 ]
Sivasankar, A. [1 ]
机构：
[1] Anna Univ, ECE, Reg Campus, Madurai, Tamil Nadu, India
来源：
2016 SECOND INTERNATIONAL CONFERENCE ON SCIENCE TECHNOLOGY ENGINEERING AND MANAGEMENT (ICONSTEM) | 2016年
关键词：
Data fusion; flood detection; image enhancement; multi temporal synthetic aperture radar (SAR) imagery; RGB composition;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Multi temporal synthetic aperture radar images are available, precise calibration and perfect spatial register are required to get a useful image for displaying changes that contain occurred. SAR calibration is a extremely complex and sensitive problem; a few errors may persist after calibration that interferes with subsequent steps in the data fusion and visualization process. Because of the non-Gaussian model of radar backscattering, traditional image pre processing procedures cannot be used here. To solve this problem "cross-calibration/normalization," method can be used. In image enhancement and the numerical comparison of many image takes together with data fusion and visualization processes. The proposed processing which contain filtering, histogram truncation, and equalization steps and region growing and merging algorithm applied in an adaptive way to the images. RGB composition is used to combining an pre & post flood image or identify an flooded areas.
引用
收藏
页码：538 / 542
页数：5
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