Advances and Challenges in Multimodal Remote Sensing Image Registration
Author:
Affiliation:
1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China
2. School of Computer and Information Technology, Xinyang Normal University, Xinyang, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Sichuan Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Pharmacology (medical)
Link
http://xplorestaging.ieee.org/ielx7/8253411/10131919/10044278.pdf?arnumber=10044278
Reference67 articles.
1. A Robust Two-Stage Registration Algorithm for Large Optical and SAR Images
2. Multimodal Image Alignment Through a Multiscale Chain of Neural Networks with Application to Remote Sensing
3. A Multiscale Framework With Unsupervised Learning for Remote Sensing Image Registration
4. Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning
5. FAST AND ROBUST REGISTRATION OF AERIAL IMAGES AND LIDAR DATA BASED ON STRUCTURAL FEATURES AND 3D PHASE CORRELATION
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