Sentinel-1 Spatially Varying Maximum-Likelihood Coherent Change Detection

被引:0
|
作者
Martin, J. C. [1 ,2 ]
Dobbs, K. [1 ,3 ]
Koehler, F. W. [1 ]
机构
[1] Natl Geospatial Intelligence Agcy, Washington, DC USA
[2] Univ Oklahoma, Adv Radar Res Ctr, Norman, OK 73019 USA
[3] Univ Kansas, Kansas Appl Remote Sensing Program, Lawrence, KS 66045 USA
关键词
sentinel; coherent change detection (CCD); maximum-likelihood coherent change detection (CRCD); flood mapping; remote sensing;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Traditional sample complex correlation change detection (CCD) for synthetic aperture radar decorrelates and thus exhibits false change in areas of low clutter-to-noise power ratio. The complex reflectance change detection (CRCD) maximum likelihood estimator uses a noise power estimate for each SAR image to lower false change. This paper extends the CRCD metric to use spatially varying noise power estimates. The Sentinel-1 SAR constellation is a publicly available data source operating in an interferometric mode with a wide 250km swath width. The noise power varies significantly across each Sentinel-1 image. The CRCD estimate with spatially varying noise (SV-CRCD) is applied to Sentinel-1 flood mapping. Accuracy improvements are demonstrated over CCD due to SV-CRCD rejecting false change in regions of low return.
引用
收藏
页码:1234 / 1238
页数:5
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