Building Earthquake Damage Recognition Performance of Texture Features from SAR Image in Frequency Domain and Spatial Domain-Reference-Cited by-同舟云学术

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Building Earthquake Damage Recognition Performance of Texture Features from SAR Image in Frequency Domain and Spatial Domain

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Zhai Wei¹,Bi Yaxin²,Wang Xiaoqing³,Zhu Guiyu¹,Du Jianqing¹

Affiliation:

1. Lanzhou Institute of Seismology, China Earthquake Administration,Lanzhou,China

2. Ulster University,Faculty of Computing, Engineering and the Built Environment,Belfast,United Kingdom

3. Institute of Earthquake Forecasting, China Earthquake Administration,Beijing,China

Funder

National Natural Science Foundation of China

China Earthquake Administration

Ministry of Science and Technology

China Scholarship Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283180.pdf?arnumber=10283180

Reference14 articles.

1. The Fast Fourier Transform and Its Applications

2. Building Earthquake Damage Information Extraction from a Single Post-Earthquake PolSAR Image

3. Four-Component Scattering Power Decomposition With Rotation of Coherency Matrix

4. Building Damage Assessment Based on the Fusion of Multiple Texture Features Using a Single Post-Earthquake PolSAR Image

5. Detection of Earthquake-Induced Building Damages Using Polarimetric SAR Data;park;Remote Sensing,2020

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