Deep object segmentation and classification networks for building damage detection using the xBD dataset

Deep object segmentation and classification networks for building damage detection using the xBD dataset

ABSTRACTDeep learning has been extensively utilized in the assessment of building damage after disasters. However, the field of building damage segmentation faces challenges, such as misjudged regions, high network complexity, and long running times. Hence, this paper proposes a two-stage building d...

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Bibliographic Details
Main Authors: Zongze Zhao, Fenglei Wang, Shiyu Chen, Hongtao Wang, Gang Cheng
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:International Journal of Digital Earth
Subjects:
Building damage
convolutional neural network
satellite imagery
damage assessment
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2024.2302577

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