Building Damage Assessment Based on the Fusion of Multiple Texture Features Using a Single Post-Earthquake PolSAR Image
Abstract
:1. Introduction
2. Materials and Methods
2.1. Multifeature Fusion Algorithm
2.2. Methodology Development for the Building Damage Assessment
2.2.1. Polarimetric Decomposition
2.2.2. Texture Feature Extraction
2.2.3. Fusion of the Multiple Texture Features Using the PWMF Method
2.2.4. Building Collapse Rate Calculation
2.2.5. Building Damage Assessment Framework
3. Results
3.1. Study Area Description and Data Preparation
3.2. Experiment Demonstration
3.2.1. Texture Feature Extraction and Fusion Using OPCE Image
3.2.2. Building Damage Assessment Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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The Proposed Method | IYFD | |||||
---|---|---|---|---|---|---|
(Experiment) | ||||||
Slight | Moderate | Serious | Slight | Moderate | Serious | |
(No. of Blocks) | (No. of Blocks) | |||||
Reference | ||||||
Slight | 12 | 2 | 0 | 9 | 4 | 1 |
Moderate | 6 | 27 | 0 | 2 | 21 | 10 |
Serious | 5 | 1 | 19 | 1 | 2 | 22 |
Overall accuracy: 80.56% | Overall accuracy: 72.22% |
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Zhai, W.; Huang, C.; Pei, W. Building Damage Assessment Based on the Fusion of Multiple Texture Features Using a Single Post-Earthquake PolSAR Image. Remote Sens. 2019, 11, 897. https://doi.org/10.3390/rs11080897
Zhai W, Huang C, Pei W. Building Damage Assessment Based on the Fusion of Multiple Texture Features Using a Single Post-Earthquake PolSAR Image. Remote Sensing. 2019; 11(8):897. https://doi.org/10.3390/rs11080897
Chicago/Turabian StyleZhai, Wei, Chunlin Huang, and Wansheng Pei. 2019. "Building Damage Assessment Based on the Fusion of Multiple Texture Features Using a Single Post-Earthquake PolSAR Image" Remote Sensing 11, no. 8: 897. https://doi.org/10.3390/rs11080897