BD-MSA: Body decouple VHR Remote Sensing Image Change Detection method guided by multi-scale feature information aggregation

arXiv:2401.04330v2 Announce Type: replace
Abstract: The purpose of remote sensing image change detection (RSCD) is to detect differences between bi-temporal images taken at the same place. Deep learning has been extensively used to RSCD tasks, yielding significant results in terms of result recognition. However, due to the shooting angle of the satellite, the impacts of thin clouds, and certain lighting conditions, the problem of fuzzy edges in the change region in some remote sensing photographs cannot be properly handled using …

abstract aggregation arxiv change cs.ai cs.cv deep learning detection differences feature image images information recognition results scale sensing tasks temporal terms type