An Attention-Based System for Damage Assessment Using Satellite Imagery | IEEE Conference Publication | IEEE Xplore

An Attention-Based System for Damage Assessment Using Satellite Imagery


Abstract:

When a disaster strikes, accurate situational information and a fast, effective response are critical to save lives. High resolution satellite images enable emergency res...Show More

Abstract:

When a disaster strikes, accurate situational information and a fast, effective response are critical to save lives. High resolution satellite images enable emergency responders to estimate the location, cause, and severity of damage. In this paper, we present a Siam-U-Net-Attn model with an attention mechanism to assess the damage level of buildings given a pair of satellite images showing a scene before and after a disaster. We evaluate the proposed method on xView2, a building damage assessment dataset, and demonstrate that the proposed approach achieves accurate damage scale classification and building segmentation.
Date of Conference: 11-16 July 2021
Date Added to IEEE Xplore: 12 October 2021
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Conference Location: Brussels, Belgium

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