A new statistical model for Markovian classification of urban areas in high-resolution SAR images

By Celine Tison, Jean-Marie Nicolas, Florence Tupin, Henri Maître. IEEE Transactions on Geoscience and Remote Sensing, 2004

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Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery (2005, methodology): “, based on the Fisher [20] or on the K [1] distributions) could be considered for future development.”
A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images (2018, background): “It plays a key role in many real-world applications, e.g., urban growth tracking [4], land use monitoring [5], and disaster evaluation [6].”
Radar Remote Sensing of Urban Areas (2010, methodology): “Tison et al. (2004) investigate airborne SAR data of spatial resolution well below half a meter (Intermap Company, AeS-1 sensor).”