CN104849722A - 一种LiDAR波形综合特征的单木识别方法 - Google Patents
一种LiDAR波形综合特征的单木识别方法 Download PDFInfo
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- CN104849722A CN104849722A CN201510232806.8A CN201510232806A CN104849722A CN 104849722 A CN104849722 A CN 104849722A CN 201510232806 A CN201510232806 A CN 201510232806A CN 104849722 A CN104849722 A CN 104849722A
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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
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
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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 (14)
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CN105137411A (zh) * | 2015-09-07 | 2015-12-09 | 辽宁工程技术大学 | 基于地物散射的全波LiDAR波形分解方法 |
CN105259909A (zh) * | 2015-11-08 | 2016-01-20 | 杨珊珊 | 基于无人飞行器的植被数据采集方法及采集装置 |
CN105676205A (zh) * | 2016-01-27 | 2016-06-15 | 武汉大学 | 一种机载LiDAR波形数据高斯分解方法 |
CN106529469A (zh) * | 2016-11-08 | 2017-03-22 | 华北水利水电大学 | 基于自适应坡度的无人机载LiDAR点云滤波方法 |
CN106778696A (zh) * | 2017-01-18 | 2017-05-31 | 北京林业大学 | 一种基于双向选择判断原理进行遥感手段提取单木与实际单木信息匹配的方法 |
CN106950573A (zh) * | 2017-02-23 | 2017-07-14 | 北京农业信息技术研究中心 | 一种基于无人机激光雷达的玉米涝渍灾害评估方法及系统 |
CN107274417A (zh) * | 2017-07-05 | 2017-10-20 | 电子科技大学 | 一种基于机载激光点云聚集关系的单木分割方法 |
CN107705344A (zh) * | 2017-09-27 | 2018-02-16 | 中国舰船研究设计中心 | 激光扫描环境点云数据中树冠模型提取方法 |
CN109190673A (zh) * | 2018-08-03 | 2019-01-11 | 西安电子科技大学 | 基于随机森林和数据拒判的地面目标分类方法 |
CN109212553A (zh) * | 2018-09-14 | 2019-01-15 | 南京林业大学 | 无人机LiDAR和随机森林提取银杏生物物理特性的方法 |
CN109409429A (zh) * | 2018-10-28 | 2019-03-01 | 南京林业大学 | 一种基于激光雷达点云数据的树种分类方法 |
CN109446986A (zh) * | 2018-10-28 | 2019-03-08 | 南京林业大学 | 一种面向树木激光点云的有效特征抽取与树种识别方法 |
CN109829425A (zh) * | 2019-01-31 | 2019-05-31 | 沈阳农业大学 | 一种农田景观小尺度地物分类方法及系统 |
WO2022067598A1 (en) * | 2020-09-30 | 2022-04-07 | Nanjing Maoting Information Technology Co., Ltd. | Method of individual tree crown segmentation from airborne lidar data using novel gaussian filter and energy function minimization |
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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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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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王植槐: "《基于机载激光雷达的林木特征研究》", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105137411A (zh) * | 2015-09-07 | 2015-12-09 | 辽宁工程技术大学 | 基于地物散射的全波LiDAR波形分解方法 |
CN105137411B (zh) * | 2015-09-07 | 2017-05-31 | 辽宁工程技术大学 | 基于地物散射的全波LiDAR波形分解方法 |
CN105259909A (zh) * | 2015-11-08 | 2016-01-20 | 杨珊珊 | 基于无人飞行器的植被数据采集方法及采集装置 |
CN105676205A (zh) * | 2016-01-27 | 2016-06-15 | 武汉大学 | 一种机载LiDAR波形数据高斯分解方法 |
CN106529469A (zh) * | 2016-11-08 | 2017-03-22 | 华北水利水电大学 | 基于自适应坡度的无人机载LiDAR点云滤波方法 |
CN106778696B (zh) * | 2017-01-18 | 2020-01-31 | 北京林业大学 | 一种基于双向选择判断原理进行遥感手段提取单木与实际单木信息匹配的方法 |
CN106778696A (zh) * | 2017-01-18 | 2017-05-31 | 北京林业大学 | 一种基于双向选择判断原理进行遥感手段提取单木与实际单木信息匹配的方法 |
CN106950573B (zh) * | 2017-02-23 | 2019-09-10 | 北京农业信息技术研究中心 | 一种基于无人机激光雷达的玉米涝渍灾害评估方法及系统 |
CN106950573A (zh) * | 2017-02-23 | 2017-07-14 | 北京农业信息技术研究中心 | 一种基于无人机激光雷达的玉米涝渍灾害评估方法及系统 |
CN107274417A (zh) * | 2017-07-05 | 2017-10-20 | 电子科技大学 | 一种基于机载激光点云聚集关系的单木分割方法 |
CN107274417B (zh) * | 2017-07-05 | 2020-06-16 | 电子科技大学 | 一种基于机载激光点云聚集关系的单木分割方法 |
CN107705344A (zh) * | 2017-09-27 | 2018-02-16 | 中国舰船研究设计中心 | 激光扫描环境点云数据中树冠模型提取方法 |
CN109190673A (zh) * | 2018-08-03 | 2019-01-11 | 西安电子科技大学 | 基于随机森林和数据拒判的地面目标分类方法 |
CN109190673B (zh) * | 2018-08-03 | 2021-09-03 | 西安电子科技大学 | 基于随机森林和数据拒判的地面目标分类方法 |
CN109212553A (zh) * | 2018-09-14 | 2019-01-15 | 南京林业大学 | 无人机LiDAR和随机森林提取银杏生物物理特性的方法 |
CN109446986A (zh) * | 2018-10-28 | 2019-03-08 | 南京林业大学 | 一种面向树木激光点云的有效特征抽取与树种识别方法 |
CN109409429A (zh) * | 2018-10-28 | 2019-03-01 | 南京林业大学 | 一种基于激光雷达点云数据的树种分类方法 |
CN109446986B (zh) * | 2018-10-28 | 2021-09-24 | 南京林业大学 | 一种面向树木激光点云的有效特征抽取与树种识别方法 |
CN109829425A (zh) * | 2019-01-31 | 2019-05-31 | 沈阳农业大学 | 一种农田景观小尺度地物分类方法及系统 |
CN109829425B (zh) * | 2019-01-31 | 2020-12-22 | 沈阳农业大学 | 一种农田景观小尺度地物分类方法及系统 |
WO2022067598A1 (en) * | 2020-09-30 | 2022-04-07 | Nanjing Maoting Information Technology Co., Ltd. | Method of individual tree crown segmentation from airborne lidar data using novel gaussian filter and energy function minimization |
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Application publication date: 20150819 Assignee: Nanjing city Pukou District moon farm Assignor: Nanjing Forestry University Contract record no.: 2018320000234 Denomination of invention: Light detection and ranging (LiDAR) waveform comprehensive feature-based individual tree identification method Granted publication date: 20170329 License type: Common License Record date: 20181024 Application publication date: 20150819 Assignee: Beijing Huamei Wanxiang Technology Co., Ltd. Assignor: Nanjing Forestry University Contract record no.: 2018320000235 Denomination of invention: Light detection and ranging (LiDAR) waveform comprehensive feature-based individual tree identification method Granted publication date: 20170329 License type: Common License Record date: 20181024 |
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Application publication date: 20150819 Assignee: Huangdun Nursery Farm, Ganyu District, Lianyungang City Assignor: Nanjing Forestry University Contract record no.: 2018320000376 Denomination of invention: Light detection and ranging (LiDAR) waveform comprehensive feature-based individual tree identification method Granted publication date: 20170329 License type: Common License Record date: 20181212 |