A correlation change detection method integrating PCA and multi- texture features of SAR image for building damage detection
Author:
Affiliation:
1. Key Laboratory of Crustal Dynamics, Institute of Crustal Dynamics, China Earthquake Administration, Beijing, China
Funder
National Natural Science Foundation of China
Civil Aerospace Project
The Special Item for Public Welfare of Scientific Research Project from Institute of Crustal Dynamics, China Earthquake Administration
Publisher
Informa UK Limited
Subject
Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science
Link
https://tandfonline.com/doi/pdf/10.1080/22797254.2019.1630322
Reference50 articles.
1. Principal component analysis
2. Improving change detection methods of SAR images using fractals
3. An investigation of the textural characteristics associated with gray level cooccurrence matrix statistical parameters
4. Texture recognition by using GLCM and various aggregation functions
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