Laser & Optoelectronics Progress, Volume. 58, Issue 5, 0528001(2021)
LiDAR Data Classification Method Based on High Recognition Compound Derivative Feature
[1] Chen S Y, Cheng X W. The principle and application of airborne LIDAR. Engineering of Surveying and Mapping, 16, 27-31(2007).
[2] Maltezos E, Doulamis A, Doulamis N et al. Building extraction from LiDAR data applying deep convolutional neural networks. IEEE Geoscience and Remote Sensing Letters, 16, 155-159(2019).
[3] Li K. Visualization of full waveform data of airborne lidar(2012).
[4] Guo Y D, Wang X K, Su D P et al. Building orthogonal boundary extraction for airborne LiDAR based on directional prediction regularization. Laser & Optoelectronics Progress, 57, 062801(2020).
[5] Shi X S, Cheng Y L, Xue D D et al. Object classification method for multi-source fusion point clouds based on point-net. Laser & Optoelectronics Progress, 57, 081019(2020).
[6] Yang S J, Zhang K S, Shao Y S. Classification of airborne LiDAR point cloud data based on multiscale adaptive features. Acta Optica Sinica, 39, 0228001(2019).
[7] Wang H Z, Glennie C. Fusion of waveform LiDAR data and hyperspectral imagery for land cover classification. ISPRS Journal of Photogrammetry and Remote Sensing, 108, 1-11(2015).
[8] Chen Y H, Han Z G. Classification of a weighted combination of remote sensing image based on D-S evidence theory. Science Technology and Engineering, 13, 5970-5973,5977(2013).
[9] Yang F B, Wang X X. Combination method of conflictive evidences in D-S evidence theory(2010).
[10] Feng P P. Research of improving the accuracy of land-cover fast classification method based on LIDAR data(2016).
[11] Gitelson A A, Merzlyak M N. Remote sensing of chlorophyll concentration in higher plant leaves. Advances in Space Research, 22, 689-692(1998).
[12] Hu B Q. The basis of fuzzy theory, 291-300(2004).
[13] Yang F B, Ji L N, Wang X X. Possibility theory and application(2019).
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Hui Bai, Fengbao Yang. LiDAR Data Classification Method Based on High Recognition Compound Derivative Feature[J]. Laser & Optoelectronics Progress, 2021, 58(5): 0528001
Category: Remote Sensing and Sensors
Received: Jun. 22, 2020
Accepted: Aug. 3, 2020
Published Online: Apr. 19, 2021
The Author Email: Yang Fengbao (yfengb@163.com)