LSV-ANet: Deep Learning on Local Structure Visualization for Feature Matching

Feature matching is a fundamental and important task in many applications of remote sensing and photogrammetry. Remote sensing images often involve complex spatial relationships due to the ground relief variations and imaging viewpoint changes. Therefore, using a pre-defined geometrical model will p...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2022, Vol.60, p.1-18
Hauptverfasser:	Chen, Jiaxuan, Chen, Shuang, Chen, Xiaoxian, Yang, Yang, Xing, Linjie, Fan, Xiaoyan, Rao, Yujing
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Attention network Data analysis Deep learning Estimation Feature extraction feature matching image registration Matching mismatch removal Modules Outliers (statistics) Photogrammetry Remote sensing Spatial distribution Strain Task analysis Training Visualization
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