Coarse-to-fine image registration for multi-temporal high resolution remote sensing based on a low-rank constraint

HIGHLIGHTS

• who: Peijing Zhang and colleagues from the School for Informatics and Cyber Security, People's Public Security University of China, Beijing, China have published the Article: Coarse-to-Fine Image Registration for Multi-Temporal High Resolution Remote Sensing Based on a Low-Rank Constraint, in the Journal: (JOURNAL) of 20/01/2022
• what: The authors propose a comprehensive coarse-to-fine registration (CCFR) algorithm. The authors design a low-rank constraint-based batch reference extraction (LRC-BRE) method. To solve the registration of large-scale geometric deformation and complex terrain, most of the relevant studies . . .
  

   

  

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