Multimodal Remote Sensing Image Matching Combining Learning Features and Delaunay Triangulation
Author:
Affiliation:
1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China
2. Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping (CASM), Beijing, China
Funder
National Key Research and Development Program of China
Research Program of the Geological Survey of Natural Resources of Qinghai Province of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09987546.pdf?arnumber=9987546
Reference55 articles.
1. Advances and Opportunities in Remote Sensing Image Geometric Registration: A Systematic Review of State-of-the-Art Approaches and Future Research Directions
2. Multi-Modal Remote Sensing Image Matching Considering Co-Occurrence Filter
3. Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters
4. Large-Scale Image Retrieval with Attentive Deep Local Features
5. Local Deep Descriptor for Remote Sensing Image Feature Matching
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