• Laser & Optoelectronics Progress
  • Vol. 57, Issue 20, 201005 (2020)
Guo Wang1、*, Qiang Wang2, Zhenxin Zhang3, Bang Xu1, and Guangxing Zhao1
Author Affiliations
  • 1Institute of Civil Engineering, Henan University of Engineering, Zhengzhou, Henan 451191, China
  • 2Tianjin Geospatial Information Technology Engineering Center, Tianjin Normal University, Tianjin 300387, China
  • 3College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
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    DOI: 10.3788/LOP57.201005 Cite this Article Set citation alerts
    Guo Wang, Qiang Wang, Zhenxin Zhang, Bang Xu, Guangxing Zhao. Classification of Airborne LiDAR Vegetation Piont Clouds Assisted by Aerial Images[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201005 Copy Citation Text show less
    References

    [1] Fan S J, Zhang A W, Hu S X et al. A method of classification for airborne full waveform LiDAR data based on random forest[J]. Chinese Journal of Lasers, 40, 0914001(2013).

    [2] Zuo Z Q, Zhang Z X, Zhang J Q. Classification of LiDAR point clouds for urban area based on multi-echo region ratio and recognition topology model[J]. Chinese Journal of Lasers, 39, 0414001(2012).

    [3] Yang B S, Liang F X, Huang R G. Progress, challenges and perspectives of 3D LiDAR point cloud processing[J]. Acta Geodaetica et Cartographica Sinica, 46, 311-318(2017).

    [4] Axelsson P. Processing of laser scanner data: algorithms and applications[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 54, 138-147(1999). http://www.sciencedirect.com/science/article/pii/S0924271699000088

    [5] Habib A, Ghanma M, Morgan M et al. Photogrammetric and lidar data registration using linear features[J]. Photogrammetric Engineering and Remote Sensing, 71, 699-707(2005). http://www.ingentaconnect.com/content/asprs/pers/2005/00000071/00000006/art00002

    [6] Habib A, Schenk T. A new approach for matching surfaces from laser scanners and optical sensors[J]. International Archives of Photogrammetry and Remote Sensing, 32, 68-75(1999).

    [7] Chen L. Fusion of lidar data and optical imagery for building modeling[J]. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, 35, 732-737(2004). http://www.researchgate.net/publication/228907620_Fusion_of_LIDAR_data_and_optical_imagery_for_building_modeling

    [8] Zeng Y, Su X B[J]. A new method to generate ADS orthophoto image Bulletin of Surveying and Mapping, 2018, 142-147.

    [9] Chen H, Guo G M. Acquiring orthoimage with samll multi-rotor aerial drone[J]. Journal of Nanyang Normal University, 18, 47-50(2019).

    [10] Zhao Y L, Wei Y M, Lao S Y. A road extraction method of aerial image based on clustering segmentation[J]. Journal of System Simulation, 26, 2198-2202(2014).

    [11] Ma H Q, Ma S P, Xu Y L et al. Low-light image enhancement based on deep convolutional neural network[J]. Acta Optica Sinica, 39, 0210004(2019).

    [12] Wang Y X, Diao M, Han C. Underwater image enhancement algorithm based on iterative histogram equalization with conventional light source[J]. Acta Photonica Sinca, 47, 1101002(2018).

    [13] Shang D S, Ma D Y, Gao Z F et al. Data fusion of point cloud and aerial image derived from LiDAR system[J]. Engineering of Surveying and Mapping, 21, 18-21(2012).

    [14] Wang G, Jiang R B, Li Y Q[J]. Filtering method of urban airborne LiDAR point clouds based on adaptive multi-grid size Geotechnical Investigation & Surveying, 2016, 55-58.

    Guo Wang, Qiang Wang, Zhenxin Zhang, Bang Xu, Guangxing Zhao. Classification of Airborne LiDAR Vegetation Piont Clouds Assisted by Aerial Images[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201005
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