Sussi, E. Husni, Arthur Siburian, Rahadian Yusuf, A. B. Harto, D. Suwardhi
{"title":"Automatic Road Extraction from Very High Resolution Orthophoto Using DeepLab V3+","authors":"Sussi, E. Husni, Arthur Siburian, Rahadian Yusuf, A. B. Harto, D. Suwardhi","doi":"10.1109/ICITSI56531.2022.9970810","DOIUrl":null,"url":null,"abstract":"Road extraction, one of the processes in map-making, is widely used by various services such as intelligent transportation systems, disaster navigation and urban planning. So far, road extraction is done manually, which takes a long time, costs a lot, and needs to be carried out by a team of experts. Automated semantic segmentation can speed up the road extraction process. The author proposes the application of Deeplab V3+ model for road extraction from very high resolution orthophoto with the Indonesian study area. From the study, the model achieved mean Intersection Ratio Union value 88% and Mean Dice loss 6.8%.","PeriodicalId":439918,"journal":{"name":"2022 International Conference on Information Technology Systems and Innovation (ICITSI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Information Technology Systems and Innovation (ICITSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITSI56531.2022.9970810","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Road extraction, one of the processes in map-making, is widely used by various services such as intelligent transportation systems, disaster navigation and urban planning. So far, road extraction is done manually, which takes a long time, costs a lot, and needs to be carried out by a team of experts. Automated semantic segmentation can speed up the road extraction process. The author proposes the application of Deeplab V3+ model for road extraction from very high resolution orthophoto with the Indonesian study area. From the study, the model achieved mean Intersection Ratio Union value 88% and Mean Dice loss 6.8%.
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