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GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature-Guided DDPM [PDF]

open access: yesIEEE Transactions on Geoscience and Remote Sensing
Deep learning (DL)-based methods have recently shown great promise in bitemporal change detection (CD). Existing discriminative methods based on Convolutional Neural Networks (CNNs) and Transformers rely on discriminative representation learning for ...
Xiaokang Zhang, Man-On Pun, Xianping Ma
exaly   +2 more sources
Some of the next articles are maybe not open access.

Quantifying small-magnitude soil erosion: Geomorphic change detection at plot scale

Land Degradation and Development, 2018
José Luis Lerma   +2 more
exaly  

Geomorphic response detection and quantification in a steep forested torrent

Geomorphology, 2017
Dušan Petrovič   +2 more
exaly  

Tapping into the Hexagon spy imagery database: A new automated pipeline for geomorphic change detection

ISPRS Journal of Photogrammetry and Remote Sensing, 2015
Summer Rupper, Joshua Maurer
exaly  

Gcd Gene Diversity of Quinoprotein Glucose Dehydrogenase in the Sediment of Sancha Lake and Its Response to the Environment

International Journal of Environmental Research and Public Health, 2019
Jianqiang Zhang
exaly  

Divisibility of power LCM matrices by power GCD matrices on gcd-closed sets

Linear and Multilinear Algebra, 2014
Jianrong Zhao
exaly  

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