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Benchmarking Attention Mechanisms and Consistency Regularization Semi-Supervised Learning for Post-Flood Building Damage Assessment in Satellite Images

• Authors : Yu, Jiaxi; Fukuda, Tomohiro; Yabuki, Nobuyoshi

Subjects: Computer Science - Computer Vision and Pattern Recognition

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Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data

• Authors : Risso, Matteo; Goffi, Alessia; Motetti, Beatrice Alessandra

Subjects: Computer Science - Computer Vision and Pattern Recognition; Computer Science - Machine Learning

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Methodology for Object-Level Change Detection in Post-Earthquake Building Damage Assessment Based on Remote Sensing Images: OCD-BDA.

• Authors : Xie, Zhengtao¹ (AUTHOR) ; Zhou, Zifan¹ (AUTHOR) ; He, Xinhao² (AUTHOR)

• Source: Remote Sensing. Nov2024, Vol. 16 Issue 22, p4263. 22p.

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A Disparate Disaster: Spatial Patterns of Building Damage Caused by Hurricane Ian and Associated Socio-Economic Factors.

• Authors : Salim, Md Zakaria¹ (AUTHOR) ; Qiang, Yi¹ (AUTHOR); Dixon, Barnali¹ (AUTHOR)

• Source: Remote Sensing. Oct2024, Vol. 16 Issue 20, p3792. 18p.

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DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery

• Authors : Alisjahbana, Irene; Li, Jiawei; Ben

Subjects: Computer Science - Computer Vision and Pattern Recognition; Computer Science - Machine Learning

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Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach

• Authors : Xue, Zhuoqun; Zhang, Xiaojian; Prevatt, David O.

Subjects: Computer Science - Computer Vision and Pattern Recognition

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A grid-based methodology for the assessment of time-dependent building damage at large scale

• Authors : Wikby, Pierre, 1995; Haaf, Ezra, 1985; Abed, Ayman, 1976

Subjects: District scale analyses; Building damage; Time-dependent settlements

• Source: Modellering av tidsberoende grundvattensänkning, markdeformationer och dess skaderisker Digital Twin Cities Centre Tunnelling and Underground Space Technology. 149

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Rapid large-scale building damage level classification after earthquakes using deep learning with Lidar and satellite optical data

• Authors : Chang Liu; Linlin Ge; Ting Bai

Subjects: Post-earthquake; Lidar; building damage

• Source: International Journal of Digital Earth, Vol 17, Iss 1 (2024)

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HRTBDA: a network for post-disaster building damage assessment based on remote sensing images

• Authors : Fang Chen; Yao Sun; Lei Wang

Subjects: Building damage assessment; damage building location; deep learning

• Source: International Journal of Digital Earth, Vol 17, Iss 1 (2024)

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

• Authors : Zongze Zhao; Fenglei Wang; Shiyu Chen

Subjects: Building damage; convolutional neural network; satellite imagery

• Source: International Journal of Digital Earth, Vol 17, Iss 1 (2024)

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