{"title":"基于点云数据的森林密度估计","authors":"Lianjun Chen","doi":"10.1166/JCTN.2016.5177","DOIUrl":null,"url":null,"abstract":"Based on the Analysis of the characteristics of the point cloud data and the difference compared to other three-dimensional data, explore and study the problem of point cloud data accuracy. From these aspects of the point cloud density, filtering methods and the interpolation method, analysis the elevation accuracy of point cloud data under different categories of terrain. The study method used is in case of different terrain category, different points cloud density and different interpolation methods, using the ground checkpoints of different number, analysis the accuracy of point cloud data. Then use the statistical theory, to estimate the density of Chungking. The final results show that this method can effectively estimate the density of the forest, and has high accuracy.","PeriodicalId":17101,"journal":{"name":"Journal of Residuals Science & Technology","volume":"83 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of the Density of Forest Based on Point Cloud Data\",\"authors\":\"Lianjun Chen\",\"doi\":\"10.1166/JCTN.2016.5177\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the Analysis of the characteristics of the point cloud data and the difference compared to other three-dimensional data, explore and study the problem of point cloud data accuracy. From these aspects of the point cloud density, filtering methods and the interpolation method, analysis the elevation accuracy of point cloud data under different categories of terrain. The study method used is in case of different terrain category, different points cloud density and different interpolation methods, using the ground checkpoints of different number, analysis the accuracy of point cloud data. Then use the statistical theory, to estimate the density of Chungking. The final results show that this method can effectively estimate the density of the forest, and has high accuracy.\",\"PeriodicalId\":17101,\"journal\":{\"name\":\"Journal of Residuals Science & Technology\",\"volume\":\"83 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Residuals Science & Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1166/JCTN.2016.5177\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Residuals Science & Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1166/JCTN.2016.5177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of the Density of Forest Based on Point Cloud Data
Based on the Analysis of the characteristics of the point cloud data and the difference compared to other three-dimensional data, explore and study the problem of point cloud data accuracy. From these aspects of the point cloud density, filtering methods and the interpolation method, analysis the elevation accuracy of point cloud data under different categories of terrain. The study method used is in case of different terrain category, different points cloud density and different interpolation methods, using the ground checkpoints of different number, analysis the accuracy of point cloud data. Then use the statistical theory, to estimate the density of Chungking. The final results show that this method can effectively estimate the density of the forest, and has high accuracy.
期刊介绍:
The international Journal of Residuals Science & Technology (JRST) is a blind-refereed quarterly devoted to conscientious analysis and commentary regarding significant environmental sciences-oriented research and technical management of residuals in the environment. The journal provides a forum for scientific investigations addressing contamination within environmental media of air, water, soil, and biota and also offers studies exploring source, fate, transport, and ecological effects of environmental contamination.