{"title":"基于多特征组合的红树林信息提取与精度分析","authors":"Mingli Zhou, Angying Xu, Chengming Yang, Lifeng Liang","doi":"10.11648/j.ajrs.20231102.12","DOIUrl":null,"url":null,"abstract":": Extracting information of mangroves at different tide levels from remote sensing images is challenging. In this study, we investigated the use of multiple features for mangrove information extraction, including spectral features, vegetation indices (NDVI, NIMI)","PeriodicalId":417484,"journal":{"name":"American Journal of Remote Sensing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mangrove Information Extraction and Precision Analysis Based on Multi-Feature Combination\",\"authors\":\"Mingli Zhou, Angying Xu, Chengming Yang, Lifeng Liang\",\"doi\":\"10.11648/j.ajrs.20231102.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": Extracting information of mangroves at different tide levels from remote sensing images is challenging. In this study, we investigated the use of multiple features for mangrove information extraction, including spectral features, vegetation indices (NDVI, NIMI)\",\"PeriodicalId\":417484,\"journal\":{\"name\":\"American Journal of Remote Sensing\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Remote Sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11648/j.ajrs.20231102.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11648/j.ajrs.20231102.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mangrove Information Extraction and Precision Analysis Based on Multi-Feature Combination
: Extracting information of mangroves at different tide levels from remote sensing images is challenging. In this study, we investigated the use of multiple features for mangrove information extraction, including spectral features, vegetation indices (NDVI, NIMI)
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