| 卫星激光测高植被目标回波的半解析仿真模型 |
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| 引用本文： | 张智宇,王虹,张文豪,黄科,周辉,马跃,李松.卫星激光测高植被目标回波的半解析仿真模型[J].测绘学报,2018,47(2):142-152. |
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| 作者姓名： | 张智宇 王虹 张文豪 黄科 周辉 马跃 李松 |
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| 作者单位： | 1. 武汉大学电子信息学院, 湖北 武汉 430072;2. 昆明理工大学理学院, 云南 昆明 650500 |
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| 基金项目： | 国家自然科学基金(41506210;11574240)，对地高分辨率观测系统国家科技重大专项(11-Y20A12-9001-17/18;42-Y20A11-9001-17/18)，中国博士后科学基金(2016M600612)，中央高校基本科研业务费专项资金(2042017kf0016)，测绘地理信息公益性行业科研专项(201512010)The National Natural Science Foundation of China(.41506210;42-Y20A11-9001-17/18)，The Postdoctoral Science Foundation of China(2016M600612)，The Fundamental Research Funds for the Central Universities(2042017kf0016)，The Special Fund of Surveying |
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| 摘 要： | 目前激光星载激光测高仪已被广泛应用于植被目标特征的提取，证明了激光雷达在林业行业的巨大应用潜力。植被目标的回波波形复杂，本文提出了一种基于半解析法植被目标的回波仿真模型，可以较好地仿真特定输入参数产生的波形。使用GLAS测高系统经过大兴安岭区域的激光波形和实地林木样地参数为依据，仿真波形与GLAS回波的相关系数R2均达到0.91以上。利用回波仿真模型定量控制如冠层几何形状、区域坡度、地面粗糙度和林下植被的变化并快速获取大量波形的优势，独立地分析每个因素对回波波形的影响，为植被目标反演的数据源选取及对回波波形展宽的分析提供指导意见。
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| 关 键 词： | 半解析模型 回波仿真模型 激光测高 植被目标 |
| 收稿时间： | 2017-08-30 |
| 修稿时间： | 2017-12-01 |
Semi-analytical Model of the Waveform of Plantation Target for a Satellite Laser Altimeter |
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| ZHANG Zhiyu,WANG Hong,ZHANG Wenhao,HUANG Ke,ZHOU Hui,MA Yue,LI Song.Semi-analytical Model of the Waveform of Plantation Target for a Satellite Laser Altimeter[J].Acta Geodaetica et Cartographica Sinica,2018,47(2):142-152. |
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| Authors: | ZHANG Zhiyu WANG Hong ZHANG Wenhao HUANG Ke ZHOU Hui MA Yue LI Song |
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| Institution: | 1. Electronic Information School, Wuhan University, Wuhan 430072, China;2. School of Science, Kunming University of Science and Technology, Kunming 650500, China |
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| Abstract: | The space borne laser altimeter has been widely applied in the extraction of characteristic of plantation target,demonstrating LiDAR technology's huge potential in forestry.As the complexity of the formation of the waveform of plantation target,a waveform simulator basing on semi analytical model has been developed,which performs well in simulating the waveform of certain inputs.Using the GLAS waveforms captured on the area of Daxing'an Mountain,the correlation coefficient R2 between the GLAS waveforms and the simulated waveforms is 0.91.The capacity of quantitative control of certain parameters like canopy shape,terrain slope,surface roughness and understory vegetation and producing a large number within limited time,allows it taking advantages in analyzing the influence of each parameter respectfully.Thus,the conclusion can provide guidance for data sources selection in inversion of vegetation taraet. |
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