{"title":"通过 RGB 光学图像的带比处理改进基于无监督学习的滑坡检测：降雨诱发的滑坡群案例研究","authors":"Lichuan Chen, Xuekun Xiang, Haijia Wen, Jiafeng Xiao, Chenhao Song, Xinzhi Zhou, Jingyuan Yu","doi":"10.1080/19475705.2024.2363406","DOIUrl":null,"url":null,"abstract":"Automatic detection of the heavy rainfall-induced landslide clusters based on optical remote sensing images had low accuracy due to the interference of many features. This work proposes a method to...","PeriodicalId":501356,"journal":{"name":"Geomatics, Natural Hazards and Risk","volume":"25 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improve unsupervised Learning-based landslides detection by band ratio processing of RGB optical images: a case study on rainfall-induced landslide clusters\",\"authors\":\"Lichuan Chen, Xuekun Xiang, Haijia Wen, Jiafeng Xiao, Chenhao Song, Xinzhi Zhou, Jingyuan Yu\",\"doi\":\"10.1080/19475705.2024.2363406\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automatic detection of the heavy rainfall-induced landslide clusters based on optical remote sensing images had low accuracy due to the interference of many features. This work proposes a method to...\",\"PeriodicalId\":501356,\"journal\":{\"name\":\"Geomatics, Natural Hazards and Risk\",\"volume\":\"25 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geomatics, Natural Hazards and Risk\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/19475705.2024.2363406\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geomatics, Natural Hazards and Risk","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/19475705.2024.2363406","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improve unsupervised Learning-based landslides detection by band ratio processing of RGB optical images: a case study on rainfall-induced landslide clusters
Automatic detection of the heavy rainfall-induced landslide clusters based on optical remote sensing images had low accuracy due to the interference of many features. This work proposes a method to...
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