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Aim of the work. Proposed wavelet-based change-detection approach: Multiscale decomposition; Adaptive scale-selection; Automatic multiscale fusion. Experimental results.
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Conclusions and future developments. Unlike optical multispectral images, Synthetic Aperture Radar SAR data are less used in unsupervised change-detection problems.
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This is due to: However, the use of SAR images for change detection is particularly attractive from the operational view point as they are not affected by sun light and atmospheric conditions. Thus changes are Looking for Biloxi Mississippi maciel detected in the same way in high and low intensity regions.
Ratio operator: The distribution depends only on the relative changes between images. Equivalent number of look of the SAR data Intensity of SAR images at t 1 and t 2 Usually log-ratio operator Looking for Biloxi Mississippi maciel used instead of the ratio as the log-ratio image has a more symmetrical statistical distribution and transforms the residual multiplicative noise model into an additive noise Lookinf.
Column wiseRow wise Proposed approach: The set of n reliable scales for the generic pixel i,jis made up of all the Looking for Biloxi Mississippi maciel resolution levels that satisfy the following condition: Optimal scale selection: Compute a new set of N images by averaging all possible sequential combinations of reliable scales: Scale-dependent threshold value Scale-Driven Fusion. Multitemporal data set: July October Reference Map.
Two novel methodological contributions characterize the proposed method compared with traditional algorithms: Integrate automatic thresholding procedures in the scale-dependent fusion procedure. Extend the use of the proposed Looking for Biloxi Mississippi maciel to change detection in very high resolution SAR images Miasissippi multiband and fully polarimetric SAR data.
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Pattern Classification All materials in these slides were taken from Pattern Classification 2nd ed by R. Duda, P.
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