Application of GLCM Textural Based Method With Sentinel-1 Radar Remote Sensing Data for Building Damage Assessment-Reference-Cited by-同舟云学术

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Application of GLCM Textural Based Method With Sentinel-1 Radar Remote Sensing Data for Building Damage Assessment

Published:2022-04-28 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Smart Information Systems and Technologies (SIST)
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Author:

Akhmadiya Asset¹^ORCID,Nabiyev Nabi¹^ORCID,Moldamurat Khuralay²^ORCID,Kismanova Aigerim¹^ORCID,Prmantayeva Bekzat²^ORCID,Brimzhanova Saule²^ORCID

Affiliation:

1. S. Seifullin Kazakh Agro Technical University,Radio Engineering, Electronics and Telecommunications department,Nur-Sultan,Kazakhstan

2. L. N. Gumilyov Eurasian National University,Space Technique and Technology department,Nur-Sultan,Kazakhstan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9945699/9945700/09945758.pdf?arnumber=9945758

Reference13 articles.

1. Statistics for complex correlation coefficients applied to advanced SAR modes: Interferometry and polarimetry

2. Textural Features for Image Classification

3. Building Collapse Assessment in Urban Areas Using Texture Information From Postevent SAR Data

4. Problems of detecting fuzzy duplicates

5. Earthquake damage detection using remote sensing data

Cited by 1 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. Machine Learning-Based Classification of Asbestos-Containing Roofs Using Airborne RGB and Thermal Imagery;Sustainability;2023-03-31

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