{"title":"基于词袋框架的Sentinel-2图像自然灾害评价","authors":"V. Bărbulescu, Andreea Griparis, M. Datcu","doi":"10.1109/COMM48946.2020.9141955","DOIUrl":null,"url":null,"abstract":"The machine learning algorithms are an essential tool to measure the impact that severe weather has on the environment. Addressing the land cover changes generated by extreme natural phenomena, in this paper, we present the ability of the bag-of-words (BoW) framework for change detection in remote sensing images. Regarding this, we used Sentinel-2 images related to two case studies: the massive bushfires from Kangaroo Island, on January 2020, and 2019 Midwestern U.S floods. Our experimental results demonstrated that the proposed methodology can achieve promising performance for both fires and floods scenarios.","PeriodicalId":405841,"journal":{"name":"2020 13th International Conference on Communications (COMM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Bag-of-Words framework for natural disaster evaluation on Sentinel-2 image\",\"authors\":\"V. Bărbulescu, Andreea Griparis, M. Datcu\",\"doi\":\"10.1109/COMM48946.2020.9141955\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The machine learning algorithms are an essential tool to measure the impact that severe weather has on the environment. Addressing the land cover changes generated by extreme natural phenomena, in this paper, we present the ability of the bag-of-words (BoW) framework for change detection in remote sensing images. Regarding this, we used Sentinel-2 images related to two case studies: the massive bushfires from Kangaroo Island, on January 2020, and 2019 Midwestern U.S floods. Our experimental results demonstrated that the proposed methodology can achieve promising performance for both fires and floods scenarios.\",\"PeriodicalId\":405841,\"journal\":{\"name\":\"2020 13th International Conference on Communications (COMM)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 13th International Conference on Communications (COMM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMM48946.2020.9141955\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 13th International Conference on Communications (COMM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMM48946.2020.9141955","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Bag-of-Words framework for natural disaster evaluation on Sentinel-2 image
The machine learning algorithms are an essential tool to measure the impact that severe weather has on the environment. Addressing the land cover changes generated by extreme natural phenomena, in this paper, we present the ability of the bag-of-words (BoW) framework for change detection in remote sensing images. Regarding this, we used Sentinel-2 images related to two case studies: the massive bushfires from Kangaroo Island, on January 2020, and 2019 Midwestern U.S floods. Our experimental results demonstrated that the proposed methodology can achieve promising performance for both fires and floods scenarios.
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