• Electro-Optic Technology Application
  • Vol. 30, Issue 5, 1 (2015)
[in Chinese]1, [in Chinese]1, [in Chinese]2, [in Chinese]1..., [in Chinese] and [in Chinese]|Show fewer author(s)
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    DOI: Cite this Article
    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Research Progress on Uncertain Theory for Feature Classification with LIDAR Data[J]. Electro-Optic Technology Application, 2015, 30(5): 1 Copy Citation Text show less

    Abstract

    Feature classification of light detection and ranging (LIDAR) data is a research focus in the field of surveying and mapping in recent years. The corresponding relationship between LIDAR data and feature information is uncertain for the influence of data acquisition, transmission and laser characteristics. The uncertain theory plays a very important role in dealing with uncertain data. The features, characteristics, application fields of common used LIDAR data feature classification in recent years and the method of LIDAR data feature classification using uncertain theory in China and foreign countries are summarized. The advantages and disadvantages of the method are analyzed. Finally, the summary and prospect are presented.
    [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Research Progress on Uncertain Theory for Feature Classification with LIDAR Data[J]. Electro-Optic Technology Application, 2015, 30(5): 1
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