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An efficient approach based on UAV orthographic imagery to map paddy with support of field-level canopy height from point cloud data

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成果类型:
期刊论文、会议论文
作者:
Liu, Hongli;Zhang, Jinshui*;Pan, Yaozhong;Shuai, Guanyuan;Zhu, Xiufang;...
通讯作者:
Zhang, Jinshui
作者机构:
[Zhang, Jinshui; Zhu, Xiufang; Liu, Hongli; Pan, Yaozhong] Beijing mal Univ, Inst Remote Sensing & Engn, Skate Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
[Liu, Hongli] Hengyang Normal Univ, Coll City & Tourism, Hengyang 421002, Peoples R China.
[Shuai, Guanyuan] Michigan State Univ, Dept Earth & Environm Sci, E Lansing, MI 48864 USA.
[Zhu, Shuang] Beijing Polytech Coll, Beijing 100042, Peoples R China.
通讯机构:
[Zhang, Jinshui] B
Beijing mal Univ, Inst Remote Sensing & Engn, Skate Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
语种:
英文
关键词:
Canopy height model (CHM);object oriented;point cloud;rice;support vector machine (SVM)
期刊:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
ISSN:
1939-1404
年:
2018
卷:
11
期:
6
页码:
2034-2046
会议名称:
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议时间:
JUL 23-28, 2017
会议地点:
Fort Worth, TX
会议主办单位:
[Liu, Hongli;Zhang, Jinshui;Pan, Yaozhong;Zhu, Xiufang] Beijing mal Univ, Inst Remote Sensing & Engn, Skate Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.^[Liu, Hongli] Hengyang Normal Univ, Coll City & Tourism, Hengyang 421002, Peoples R China.^[Shuai, Guanyuan] Michigan State Univ, Dept Earth & Environm Sci, E Lansing, MI 48864 USA.^[Zhu, Shuang] Beijing Polytech Coll, Beijing 100042, Peoples R China.
会议赞助商:
Institute of Elect & Electron Engineers Geoscience & Remote Sensing Soc, IEEE, IEEE GRSS
出版地:
445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
出版者:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
基金类别:
Manuscript received September 15, 2017; revised January 18, 2018 and April 1, 2018; accepted April 9, 2018. Date of publication May 30, 2018; date of current version June 29, 2018. This work was supported in part by the State Key Laboratory of Earth Surface Processes and Resource Ecology, in part by the Beijing Normal University, in part by the National Key Research and Development under Project 2017YFD03004, and in part by Open fund project of Hunan Provincial Key Research Base of Social Sciences for Human Settlements (RJ14K03). (Corresponding author: Jinshui Zhang.) H. Liu is with the Skate Key Laboratory of Earth Surface Processes and Resource Ecology, Institute of Remote Sensing and Engineering, Beijing Normal University, Beijing 100875, China, and also with the College of City and Tourism, Hengyang Normal University, Hengyang 421002, China (e-mail:, li-uhongli@mail.bnu.edu.cn).
机构署名:
本校为其他机构
院系归属:
地理与旅游学院
摘要:
Unmanned aerial vehicle technology which is capable of acquiring the centimeter-level orthographic images provides a promising way to map the paddy rice extent. However, crop spectral mixture is still the major that limits the performance of paddy rice identification when using the spectral information alone. In order to eliminate the influence of spectral mixture on crop mapping accuracy, an innovative method was proposed to produce field-level canopy height data by calculating the elevation difference between the vegetated and nonvegetated pa...

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