A Deep Learning Approach for Earthquake Damage Extraction in Buildings by Integrating Spatial and Frequency Domain Texture Features-A Case Study of the 2023 Turkey Earthquake

doi:10.11873/j.issn.1004-0323.2025.1.0089

Guiyu ZHU, Wei ZHAI, Jianqing DU

Remote Sensing Technology and Application ›› 2025, Vol. 40 ›› Issue (1) : 89-97.

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Remote Sensing Technology and Application ›› 2025, Vol. 40 ›› Issue (1) : 89-97. DOI: 10.11873/j.issn.1004-0323.2025.1.0089

A Deep Learning Approach for Earthquake Damage Extraction in Buildings by Integrating Spatial and Frequency Domain Texture Features-A Case Study of the 2023 Turkey Earthquake

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2025, 40(1): 89-97 https://doi.org/10.11873/j.issn.1004-0323.2025.1.0089

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Received	Revised	Published
2024-01-05	2024-12-30	2025-02-28
Issue Date
2025-03-18

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