DMODNet:Deep Unfolding Network for Moving Object Detection in Satellite Videos

Model-based methods and deep neural networks have both been tremendously successful paradigms in moving object detection (MOD) from satellite videos. In model-based methods, problem domain knowledge can be built into the constraints of the model, typically requiring manual parameter adjustment and a...

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Detalles Bibliográficos

Principais autores:	Qian Yin, Ruize Li, Jinxin Xia, Rixiang Ni, Zaiping Lin, Wei An, Yulan Guo, Hanyun Wang
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2026-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Deep neural network deep unfolding network model-based moving object detection (MOD) satellite videos
Acceso en liña:	https://ieeexplore.ieee.org/document/11419723/
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