Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized Mean Shift Clustering Algorithm Using Terrestrial Laser Scanning

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期刊论文

作者：

Tang, Jie;Jiang, Fugen;Long, Yi;Fu, Liyong;Sun, Hua

通讯作者：

Sun, H

作者机构：

[Long, Yi; Sun, Hua; Jiang, Fugen; Fu, Liyong; Tang, Jie] Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China.

[Long, Yi; Sun, Hua; Jiang, Fugen; Tang, Jie] Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Peoples R China.

[Long, Yi; Sun, Hua; Jiang, Fugen; Tang, Jie] Key Lab State Forestry Adm Forest Resources Manag, Changsha 410004, Peoples R China.

[Fu, Liyong] Res Inst Forest Resource Informat Tech, Chinese Acad Forestry, Beijing 100091, Peoples R China.

通讯机构：

[Sun, H ] C

Cent South Univ Forestry & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China.

Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Peoples R China.

Key Lab State Forestry Adm Forest Resources Manag, Changsha 410004, Peoples R China.

语种：

英文

关键词：

Camellia oleifera;yield identification;terrestrial laser scanning;mean shift;color space

期刊：

Remote Sensing

ISSN：

2072-4292

年：

2022

卷：

期：

DOI：

10.3390/rs14030642

基金类别：

Scientific Research Fund of Hunan Provincial Forestry Department [XLK201986]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31971578]; Scientific Research Fund of Changsha Science and Technology Bureau [kq2004095]

机构署名：

本校为第一且通讯机构

院系归属：

林学院

摘要：

Oil tea (Camellia oleifera) is one of the world's major woody edible oil plants and is vital in providing food and raw materials and ensuring water conservation. The yield of oil tea can directly reflect the growth condition of oil tea forests, and rapid and accurate yield measurement is directly beneficial to efficient oil tea forest management. Light detection and ranging (LiDAR), which can penetrate the canopy to acquire the geometric attributes of targets, has become an effective and popular method of yield identification for agricultural products. However, the common geometric attribute i...

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Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized Mean Shift Clustering Algorithm Using Terrestrial Laser Scanning

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