Change detection using multi-scale convolutional feature maps of bi-temporal satellite high-resolution images
Author:
Affiliation:
1. Center for Space Science, New York University, Abu Dhabi, United Arab Emirates
2. G42 Company, Abu Dhabi, United Arab Emirates
Funder
New York University Abu Dhabi
Publisher
Informa UK Limited
Subject
Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/22797254.2022.2161419
Reference31 articles.
1. A Mixed Markov model for change detection in aerial photos with large time differences
2. Change Detection in Optical Aerial Images by a Multilayer Conditional Mixed Markov Model
3. Adaptation and Evaluation of an Optical Flow Method Applied to Coregistration of Forest Remote Sensing Images
4. Automatic radiometric normalization of multitemporal satellite imagery with the iteratively re-weighted MAD transformation
5. Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and $k$-Means Clustering
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