Spatial Correlation-Constrained Low-Rank Modeling for SAR Image Change Detection-Reference-Cited by-同舟云学术

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Spatial Correlation-Constrained Low-Rank Modeling for SAR Image Change Detection

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Li Weisong¹^ORCID,Wang Haipeng¹^ORCID,Ma Peifeng²^ORCID

Affiliation:

1. Key Laboratory of Information Science of Electromagnetic Waves, Fudan University, Shanghai, China

2. Department of Geography and Resource Management, Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10363390.pdf?arnumber=10363390

Reference54 articles.

1. Change Detection of Multitemporal SAR Data in Urban Areas Combining Feature-Based and Pixel-Based Techniques

2. Multitemporal Spaceborne SAR Data for Urban Change Detection in China

3. Improving Urban Change Detection From Multitemporal SAR Images Using PCA-NLM

4. A Change Detection Approach to Flood Mapping in Urban Areas Using TerraSAR-X

5. Tsunami Damage Investigation of Built-Up Areas Using Multitemporal Spaceborne Full Polarimetric SAR Images

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