{"title":"A Very High Resolution Satellite Imagery Classification Algorithm","authors":"Y. Shedlovska, V. Hnatushenko","doi":"10.1109/ELNANO.2018.8477447","DOIUrl":null,"url":null,"abstract":"This work is devoted to high-resolution WorldView-2 and WorldView-3 satellite imagery processing. We have developed a satellite imagery automatic classification algorithm based on the object-based approach. Three different segmentation methods are investigated in order to determine which is the most appropriate for our task. The experimental results show a good accuracy of the proposed algorithm.","PeriodicalId":269665,"journal":{"name":"2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELNANO.2018.8477447","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
This work is devoted to high-resolution WorldView-2 and WorldView-3 satellite imagery processing. We have developed a satellite imagery automatic classification algorithm based on the object-based approach. Three different segmentation methods are investigated in order to determine which is the most appropriate for our task. The experimental results show a good accuracy of the proposed algorithm.
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