A Global-to-Local Algorithm for High-Resolution Optical and SAR Image Registration
Author:
Affiliation:
1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Funder
Key Research Program of Frontier Sciences, Chinese Academy of Sciences
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10233894.pdf?arnumber=10233894
Reference52 articles.
1. LNIFT: Locally Normalized Image for Rotation Invariant Multimodal Feature Matching
2. RIFT: Multi-Modal Image Matching Based on Radiation-Variation Insensitive Feature Transform
3. Universal SAR and optical image registration via a novel SIFT framework based on nonlinear diffusion and a polar spatial-frequency descriptor
4. OS-SIFT: A Robust SIFT-Like Algorithm for High-Resolution Optical-to-SAR Image Registration in Suburban Areas
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