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利用准全色图像的改进型物体检测网络实时识别自然灾害引发的倒塌建筑

IF 3.7 4区 地球科学 Q2 REMOTE SENSING
European Journal of Remote Sensing Pub Date : 2024-02-18 DOI:10.1080/22797254.2024.2318357
Jiayi Ge, Qiao Wang, Hong Tang
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引用次数: 0

摘要

在救灾过程中，准确、快速地获取倒塌建筑分布信息非常重要。然而，受限于一些实际因素，现有的方法往往...
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Real-time identification of collapsed buildings triggered by natural disasters using a modified object-detection network with quasi-panchromatic images
During disaster response, it is very important to obtain the information of collapsed building distribution accurately and quickly. However, limited by some practical factors, existed methods often...
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来源期刊
European Journal of Remote Sensing
European Journal of Remote Sensing REMOTE SENSING-
CiteScore
7.00
自引率
2.50%
发文量
51
审稿时长
>12 weeks
期刊介绍： European Journal of Remote Sensing publishes research papers and review articles related to the use of remote sensing technologies. The Journal welcomes submissions on all applications related to the use of active or passive remote sensing to terrestrial, oceanic, and atmospheric environments. The most common thematic areas covered by the Journal include: -land use/land cover -geology, earth and geoscience -agriculture and forestry -geography and landscape -ecology and environmental science -support to land management -hydrology and water resources -atmosphere and meteorology -oceanography -new sensor systems, missions and software/algorithms -pre processing/calibration -classifications -time series/change analysis -data integration/merging/fusion -image processing and analysis -modelling European Journal of Remote Sensing is a fully open access journal. This means all submitted articles will, if accepted, be available for anyone to read anywhere, at any time, immediately on publication. There are no charges for submission to this journal.
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