High Consequence Area identification method based on high-resolution remote sensing images

High Consequence Area identification method based on high-resolution remote sensing images

Presently, the High Consequence Areas (HCAs) are mainly identified according to Oil and gas pipeline integrity management specification (GB 32167－2015). However, due to the lack of effective technical means, the quantitative identification criterion in the standard has a limited guidance effect on t...

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Bibliographic Details
Main Authors: Yi LIU, Changchai HAN, Wangfa SU, Deming LI, Lei GUO, Jun LIU, Wei CUI, Jianping ZHANG
Format: Article
Language:zho
Published: Editorial Office of Oil & Gas Storage and Transportation 2022-04-01
Series:You-qi chuyun
Subjects:
long-distance pipeline
high-resolution remote sensing images
high consequence area (hca)
convolutional neural network
conditional random field
identification
Online Access:http://yqcy.xml-journal.net/cn/article/doi/10.6047/j.issn.1000-8241.2022.04.008

Internet

http://yqcy.xml-journal.net/cn/article/doi/10.6047/j.issn.1000-8241.2022.04.008

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