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基于有效散射单元模型的全波形LiDAR数据可变分量分解 被引量:1

Effective scattering cell model with variable components for full waveform LiDAR data decomposition
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摘要 当前全波形LiDAR数据的分解方法仅考虑波形拟合,不能充分反映地物目标的散射特性。针对这一问题,提出利用有效散射单元表达全波形LiDAR数据,并对全波形LiDAR数据进行基于有效散射单元模型的可变分量波形分解。对ICESatGLAS全波形数据进行实验,实验结果能得到较为准确的地物高程信息;同时结果所得的有效散射单元个数与对应地物散射面积相结合,可反演各类地物散射特性。方法在自动确定地物个数的同时,从全波形LiDAR数据形成机理上设计分解模型,为全波形LiDAR数据分解建模提供了有效的新思路。 In full waveform LiDAR data decomposition,the current methods can only satisfy the waveform fitting,but can not reflect the scattering characteristic of the target feature. To this end,the full waveform LiDAR data is converted to the effective scattering cell,and the approach with unknown number of components based on effective scattering cell is presented. To test the proposal approach,the decomposition is carried out on the CESat-GLAS data. The testing results show that the proposed approach can show the evaluations of the targets,furthermore it can reflect the scattering characteristics with the scattering area of the targets. This approach can not only determine the number of components,but also design the decomposition model from the data mechanism,which provides a new idea for full waveform LiDAR data decomposition.
作者 赵泉华 陈为多 王玉 李玉 Zhao Quanhua;Chen Weiduo;Wang Yu;Li Yu(Institute for Remote Sensing Science and Application,School of Geomatics,Liaoning Technical University,Fuxin 123000,China)
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2018年第5期99-106,共8页 Chinese Journal of Scientific Instrument
基金 辽宁省教育厅科学技术研究一般项目(LNCL009) 辽宁省高校创新人才支持计划(LR2016061) 国家自然科学基金青年基金(41301479)项目资助
关键词 全波形LiDAR 波形分解 有效散射单元 RJMCMC算法 散射特性 full-waveform LiDAR waveform decomposition effective scattering cell RJMCMC algorithm scattering characteristics
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  • 1庞勇,李增元,陈尔学,孙国清.激光雷达技术及其在林业上的应用[J].林业科学,2005,41(3):129-136. 被引量:155
  • 2文汉江,程鹏飞.ICESAT/GLAS激光测高原理及其应用[J].测绘科学,2005,30(5):33-35. 被引量:22
  • 3孙国清,Ranson K J,张钟军.利用激光雷达和多角度频谱成像仪数据估测森林垂直参数(英文)[J].遥感学报,2006,10(4):523-530. 被引量:16
  • 4王成,Menenti M,StollM P,李传荣,唐伶俐.机载激光雷达数据的误差分析及校正[J].遥感学报,2007,11(3):390-397. 被引量:37
  • 5Hug C. A Waveform-Digitizing LiDar Terrain and Vegetation Mapping System[J]. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences (Freiburg , Germany),2004,36 (Part 8/W2):24-29.
  • 6Bretar F, Managing A C. Full Wave form Lidar Data: A Challenging Task For The Forthcoming Years[J]. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Beijing), 2008. XXXVII (Part B1) :415-419.
  • 7Hofton M, Minster J,Blair J. Decomposition of Laser Altimeter Waveforms[J].EEETrans. Geosci. Rein. Sens. ,2000,38 (4):1989-1996.
  • 8Kirchhof M, Jutzi B, Stilla U. lterative processing of laser scanning data by full waveform analysis[J].ISPRS Journal of Photogrammetry & Remote Sensing , 2008, 63 : 99- 114.
  • 9Wagner W, Ullrich A, Ducic V. Gaussian decomposition and calibration of a novel small footprint full-wave form digitising airborne laser scanner[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2008, 66 : 100- 112.
  • 10Chauve A, Mallet C, Bretar F, et al. Processing full waveform Lidar data: modelling raw signals[J]. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences(Espoo, Finland), 2007, 39 (Part 3/W52) : 102-107.

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