Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery

By Gabriele Moser, Sebastiano Bruno Serpico. IEEE Transactions on Geoscience and Remote Sensing, 2005

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Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection (2008, methodology): “In remote sensing, change identification traditionally subtracts the subsequent images and then applies a threshold that is tuned either heuristically or under other more sophisticated criteria [5], [20], [21], [23].”
A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images (2018, methodology): “With a difference map, the change detection result can be obtained by using a thresholding algorithm [24].”