Zobrazeno 1 - 10
of 207
pro vyhledávání: '"building damage assessment"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Efficient building damage assessment after disasters is vital for emergency response and loss evaluation, but the task is complicated by diverse building structures and complex environments. Traditional methods using Convolutional Neural Networks (CN
Externí odkaz:
https://doaj.org/article/07047195d613444cb884ebf69f8c6c3d
Autor:
Yanchen Yang, Chou Xie, Bangsen Tian, Yihong Guo, Yu Zhu, Shuaichen Bian, Ying Yang, Ming Zhang, Yimin Ruan
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 133, Iss , Pp 104133- (2024)
Rapid and accurate assessment of affected areas is crucial for post-earthquake rescue efforts, as earthquakes can lead to extensive damage and casualties. The post-earthquake damage assessment method based on SAR coherence is widely utilized, but iss
Externí odkaz:
https://doaj.org/article/b4620b990e974d0fa4b4e92cb81fe392
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 57, Iss , Pp 101811- (2024)
Two major earthquakes occurred in Pazarcık and Elbistan, Kahramanmaraş on February 6, 2023. The first earthquake recorded at 04:17 local time had a magnitude of Mw = 7.7 with a focal depth of 8.6 km. The second earthquake occurred at 13:24 local ti
Externí odkaz:
https://doaj.org/article/e233d7977b204b83912f95252dc8940a
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4263 (2024)
Remote sensing and computer vision technologies are increasingly leveraged for rapid post-disaster building damage assessment, becoming a crucial and practical approach. In this context, the accuracy of employing various AI models in pixel-level chan
Externí odkaz:
https://doaj.org/article/8d1c7c14ab1548c2aa9440cf8d5e65e3
Autor:
Zhonghua Hong, Hongyang Zhang, Xiaohua Tong, Shijie Liu, Ruyan Zhou, Haiyan Pan, Yun Zhang, Yanling Han, Jing Wang, Shuhu Yang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5204-5220 (2024)
High-resolution stereo satellite images (HRSSIs) have the potential to provide the accurate height and volume information, playing a crucial role in assessing building collapses during various natural disasters. However, the time-consuming process of
Externí odkaz:
https://doaj.org/article/8fa903127b2f45c3802420de92ffec7d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4917-4935 (2024)
Building change detection (BCD) holds significant value in the context of monitoring land use, whereas building damage assessment (BDA) plays a crucial role in expediting humanitarian rescue efforts post-disasters. To address these needs, we propose
Externí odkaz:
https://doaj.org/article/492fd7f4f00b4ea090f543397ebc982c
Publikováno v:
International Journal of Disaster Risk Science, Vol 14, Iss 6, Pp 947-962 (2023)
Abstract Rapid building damage assessment following an earthquake is important for humanitarian relief and disaster emergency responses. In February 2023, two magnitude-7.8 earthquakes struck Turkey in quick succession, impacting over 30 major cities
Externí odkaz:
https://doaj.org/article/dad0a362244d4af98f3e8665695cee1f
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 3964 (2024)
Accurate and efficient post-earthquake building damage assessment methods enable key building damage information to be obtained more quickly after an earthquake, providing strong support for rescue and reconstruction efforts. Although many methods ha
Externí odkaz:
https://doaj.org/article/a8c70cf909ef4ce980d4b6e7d0b94d28
Publikováno v:
Remote Sensing, Vol 16, Iss 4, p 698 (2024)
Subsidence prediction is essential for preventing and controlling geohazards in coal mining areas. However, the Interferometric Synthetic Aperture Radar (InSAR) technique is limited in deriving the goaf displacements with a large gradient and fast de
Externí odkaz:
https://doaj.org/article/8deb8b8225df44f39de2890e788eaa16
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