Heterogeneous Images Change Detection Based on Iterative Joint Global–Local Translation
Author:
Affiliation:
1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China
2. Institute of Defense Engineering, Academy of Military Sciences, Beijing, China
Funder
Natural Science Foundation of Heilongjiang Province
National Key Laboratory of Science and Technology on Remote Sensing Information and Image Analysis Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09833278.pdf?arnumber=9833278
Reference57 articles.
1. A MultiKernel Domain Adaptation Method for Unsupervised Transfer Learning on Cross-Source and Cross-Region Remote Sensing Data Classification
2. Deep Subdomain Adaptation Network for Image Classification
3. A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images
4. Change Detection in Heterogenous Remote Sensing Images via Homogeneous Pixel Transformation
5. A Fractal Projection and Markovian Segmentation-Based Approach for Multimodal Change Detection
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