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Methodology for Urban Cool Loop Applications Using Satellite Images
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Publication Year
2022-01-01
Journal
Proceedings - 2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science, BCD 2022
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
Proceedings - 2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science, BCD 2022, pp.372-374
Keyword
City planningCool RoofGlobal warming.Remote SensingSatellite imagery processing
Mesh Keyword
Cool roofsCooling loopsGlobal warming.Green roofLarge-scalesRegional coolingRemote-sensingSatellite imagery processingSatellite imagesTechnical solutions
All Science Classification Codes (ASJC)
Computer Networks and CommunicationsComputer Science ApplicationsInformation SystemsInformation Systems and ManagementSafety, Risk, Reliability and Quality
Abstract
The purpose of this study is to propose a technology to replace green roofs to white(cool) roof, which currently occupy most of the roofs of Korea. This paper presents related studies about effectiveness of the cooling loop, deals with the limitations and problems of large-scale regional cooling loop construction, and presents various technical solutions to these problems. Introducing with cool roof effectiveness, and how to apply the replacement idea into massive area within image processing techniques. We'll cover full steps of image processing, at first, gathering images is time-consuming process, so we purpose data import pipeline with automated tools, then we do label images in purpose of detecting and classifying images via CNN (Convolutional Neural Network) layer. Then we Figure out the labels of images, which are randomly gathered all around the nation, and calculate the efficiency of the replacement by given input images
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36783
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85141378818&origin=inward
DOI
https://doi.org/10.1109/bcd54882.2022.9900542
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9900505
Type
Conference
Funding
ACKNOWLEDGEMENT This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2022-2018-0-01424) supervised by the IITP (Institute for Information & communications Technology Promotion)
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Kang, Ju Young강주영
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