CN104808191A - 一种基于全波形LiDAR单木冠层容积分解的树种分类方法 - Google Patents
一种基于全波形LiDAR单木冠层容积分解的树种分类方法 Download PDFInfo
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- CN104808191A CN104808191A CN201510234714.3A CN201510234714A CN104808191A CN 104808191 A CN104808191 A CN 104808191A CN 201510234714 A CN201510234714 A CN 201510234714A CN 104808191 A CN104808191 A CN 104808191A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/48—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
- G01S7/4802—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
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Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105469098A (zh) * | 2015-11-20 | 2016-04-06 | 中北大学 | 一种自适应特征权重合成的lidar数据地物精确分类方法 |
CN106199557A (zh) * | 2016-06-24 | 2016-12-07 | 南京林业大学 | 一种机载激光雷达数据植被提取方法 |
CN108007880A (zh) * | 2017-11-30 | 2018-05-08 | 洛阳师范学院 | 一种树种光谱曲线多边形面积指数的建立方法 |
CN109101977A (zh) * | 2018-06-27 | 2018-12-28 | 深圳大学 | 一种基于无人机的数据处理的方法及装置 |
CN110009054A (zh) * | 2019-04-12 | 2019-07-12 | 南京大学 | 一种利用几何与强度特征的分层次机载LiDAR点云分类方法 |
CN110415259A (zh) * | 2019-07-30 | 2019-11-05 | 南京林业大学 | 一种基于激光反射强度的行道树点云识别方法 |
CN110728197A (zh) * | 2019-09-19 | 2020-01-24 | 中山大学 | 基于深度学习的单木级树种识别方法 |
CN113111793A (zh) * | 2021-04-16 | 2021-07-13 | 重庆大学 | 树木识别方法与装置 |
Citations (1)
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CN104155638A (zh) * | 2014-06-11 | 2014-11-19 | 南京林业大学 | 一种基于LiDAR伪垂直波形模型的树种分类方法 |
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Patent Citations (1)
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CN104155638A (zh) * | 2014-06-11 | 2014-11-19 | 南京林业大学 | 一种基于LiDAR伪垂直波形模型的树种分类方法 |
Non-Patent Citations (3)
Title |
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LIN CAO ET AL.: ""Estimation of forest structural variables using small-footprint full-waveform LiDAR in a subtropical forest, China"", 《2014 THIRD INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS》 * |
徐光彩: ""机载LIADR波形数据处理及分类研究"", 《中国优秀硕士学位论文全文数据库 基础科学辑》 * |
曹林 等: ""基于机载小光斑LiDAR技术的亚热带森林参数信息优化提取"", 《北京林业大学学报》 * |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105469098B (zh) * | 2015-11-20 | 2018-10-12 | 中北大学 | 一种自适应特征权重合成的lidar数据地物精确分类方法 |
CN105469098A (zh) * | 2015-11-20 | 2016-04-06 | 中北大学 | 一种自适应特征权重合成的lidar数据地物精确分类方法 |
CN106199557A (zh) * | 2016-06-24 | 2016-12-07 | 南京林业大学 | 一种机载激光雷达数据植被提取方法 |
CN108007880B (zh) * | 2017-11-30 | 2020-05-19 | 洛阳师范学院 | 一种树种光谱曲线多边形面积指数的建立方法 |
CN108007880A (zh) * | 2017-11-30 | 2018-05-08 | 洛阳师范学院 | 一种树种光谱曲线多边形面积指数的建立方法 |
CN109101977A (zh) * | 2018-06-27 | 2018-12-28 | 深圳大学 | 一种基于无人机的数据处理的方法及装置 |
CN109101977B (zh) * | 2018-06-27 | 2022-09-20 | 深圳大学 | 一种基于无人机的数据处理的方法及装置 |
CN110009054B (zh) * | 2019-04-12 | 2021-01-29 | 南京大学 | 一种利用几何与强度特征的分层次机载LiDAR点云分类方法 |
CN110009054A (zh) * | 2019-04-12 | 2019-07-12 | 南京大学 | 一种利用几何与强度特征的分层次机载LiDAR点云分类方法 |
CN110415259A (zh) * | 2019-07-30 | 2019-11-05 | 南京林业大学 | 一种基于激光反射强度的行道树点云识别方法 |
CN110415259B (zh) * | 2019-07-30 | 2023-04-28 | 南京林业大学 | 一种基于激光反射强度的行道树点云识别方法 |
CN110728197A (zh) * | 2019-09-19 | 2020-01-24 | 中山大学 | 基于深度学习的单木级树种识别方法 |
CN110728197B (zh) * | 2019-09-19 | 2023-04-18 | 中山大学 | 基于深度学习的单木级树种识别方法 |
CN113111793A (zh) * | 2021-04-16 | 2021-07-13 | 重庆大学 | 树木识别方法与装置 |
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Application publication date: 20150729 Assignee: Nanjing city Pukou District moon farm Assignor: Nanjing Forestry University Contract record no.: 2018320000234 Denomination of invention: Tree species classification method based on full-waveform LiDAR single-tree canopy volume decomposition Granted publication date: 20170322 License type: Common License Record date: 20181024 Application publication date: 20150729 Assignee: Beijing Huamei Wanxiang Technology Co., Ltd. Assignor: Nanjing Forestry University Contract record no.: 2018320000235 Denomination of invention: Tree species classification method based on full-waveform LiDAR single-tree canopy volume decomposition Granted publication date: 20170322 License type: Common License Record date: 20181024 |
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Application publication date: 20150729 Assignee: Huangdun Nursery Farm, Ganyu District, Lianyungang City Assignor: Nanjing Forestry University Contract record no.: 2018320000376 Denomination of invention: Tree species classification method based on full-waveform LiDAR single-tree canopy volume decomposition Granted publication date: 20170322 License type: Common License Record date: 20181212 |
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