Sliding Window-based Probabilistic Change Detection for Remote-sensed Images
نویسندگان
چکیده
A recent probabilistic change detection algorithm provides a way for assessing changes on remotesensed images which is more robust to geometric and atmospheric errors than existing pixel-based methods. However, its grid (patch)-based change detection results in coarse-resolution change maps and often discretizes continuous changes that occur across grid boundaries. In this study, we propose a sliding window-based extension of the probabilistic change detection approach to overcome such artificial limitations.
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