{"title":"利用激光雷达图像估计单个茎的位置","authors":"K. Kimura, Shitaro Goto","doi":"10.1109/CCATS.2015.48","DOIUrl":null,"url":null,"abstract":"For REDD+ (Reduction of Emission from Deforestation and forest Degradation) and the Kyoto Protocol, the methodology for a wide range in a short time forest measurement, high-resolution measurement, LiDAR (Lightning Detection and Ranging) will be a powerful tool. In this study, the interpolation method, low-pass filtering, Local Maximum Filter method, and Watershed method were used to estimate the individual stem. Following the comparison of the estimation result of individual stem using LiDAR vs the measured values, the result of accuracy evaluation is 93%.","PeriodicalId":433684,"journal":{"name":"2015 International Conference on Computer Application Technologies","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating the Location of Individual Stem Using LiDAR Imagery\",\"authors\":\"K. Kimura, Shitaro Goto\",\"doi\":\"10.1109/CCATS.2015.48\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For REDD+ (Reduction of Emission from Deforestation and forest Degradation) and the Kyoto Protocol, the methodology for a wide range in a short time forest measurement, high-resolution measurement, LiDAR (Lightning Detection and Ranging) will be a powerful tool. In this study, the interpolation method, low-pass filtering, Local Maximum Filter method, and Watershed method were used to estimate the individual stem. Following the comparison of the estimation result of individual stem using LiDAR vs the measured values, the result of accuracy evaluation is 93%.\",\"PeriodicalId\":433684,\"journal\":{\"name\":\"2015 International Conference on Computer Application Technologies\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Computer Application Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCATS.2015.48\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Computer Application Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCATS.2015.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimating the Location of Individual Stem Using LiDAR Imagery
For REDD+ (Reduction of Emission from Deforestation and forest Degradation) and the Kyoto Protocol, the methodology for a wide range in a short time forest measurement, high-resolution measurement, LiDAR (Lightning Detection and Ranging) will be a powerful tool. In this study, the interpolation method, low-pass filtering, Local Maximum Filter method, and Watershed method were used to estimate the individual stem. Following the comparison of the estimation result of individual stem using LiDAR vs the measured values, the result of accuracy evaluation is 93%.
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