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- W2808086139 abstract "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." @default.
- W2808086139 created "2018-06-21" @default.
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- W2808086139 date "2018-04-01" @default.
- W2808086139 modified "2023-09-25" @default.
- W2808086139 title "Sentinel-1 spatially varying maximum-likelihood coherent change detection" @default.
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- W2808086139 doi "https://doi.org/10.1109/radar.2018.8378739" @default.
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