An earthquake damage identification approach from VHR image using mathematical morphology and machine learning

Author:

Alataş Enes OğuzhanORCID,Taşkın Gülşen

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images;International Journal of Applied Earth Observation and Geoinformation;2023-09

2. Design of a satellite spectrum detection method based on morphological iterative;International Conference on Optoelectronic Information and Functional Materials (OIFM 2023);2023-08-07

3. Application of Modified Genetic Algorithm in Modal Parameter Identification of Bridge Structures;2023 International Conference on Data Science and Network Security (ICDSNS);2023-07-28

4. Fabric defect detection using cartoon–texture image decomposition model and visual saliency method;Textile Research Journal;2023-06-21

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