• Laser & Optoelectronics Progress
  • Vol. 55, Issue 4, 042803 (2018)
Manyun He1, Yinglei Cheng1、*, Xiangjiang Liao1, and Zhongyang Zhao1
Author Affiliations
  • 1 College of Information and Navigation, Air Force Engineering University, Xi'an, Shaanxi 710077, China
  • 1 Unit of 94816, Fuzhou, Fujian 350002, China
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    DOI: 10.3788/LOP55.042803 Cite this Article Set citation alerts
    Manyun He, Yinglei Cheng, Xiangjiang Liao, Zhongyang Zhao. Building Extraction Algorithm by Fusing Spectral and Geometrical Features[J]. Laser & Optoelectronics Progress, 2018, 55(4): 042803 Copy Citation Text show less
    References

    [1] Hui Z Y, Hu Y J. Review on morphological filtering algorithms based on LiDAR digital elevation model construction[J]. Laser & Optoelectronics Progress, 53, 080001(2016).

    [2] Huang Z W, Liu F, Hu G W. Improved method for LiDAR point cloud data filtering based on hierarchical pseudo-grid[J]. Acta Optica Sinica, 37, 0828004(2017).

    [3] Mordohai P, Medioni G. Tensor voting: A perceptual organization approach to computer vision and machine learning[C]. Synthesis Lectures on Image Video & Multimedia Processing, 2, 1-136(2006).

    [4] Lin H B, Shao Y C, Wang W. The 2D analytical tensor voting algorithm[J]. Acta Automatica Sinica, 42, 472-480(2016).

    [5] Yang W, Wan Y C, He P P. Automated detection of building region from airborne LiDAR data based on tensor voting[J]. Science of Surveying and Mapping, 41, 7-10(2016).

    [6] Zhan Q M, Liang Y B, Wei C, Remote Sensing, Spatial Information Sciences et al. XXXIX-, B3, 573-577(2012).

    [7] Zeng N H, Yue Y C, Huang C. Fusion of airborne LiDAR and aerial DOM for road extraction[J]. Science of Surveying and Mapping, 41, 96-99(2016).

    [8] Cheng X J, Cheng X L, Hu M J et al. Building detection and contour extraction by fusion of aerial images and LIDAR point cloud[J]. Chinese Journal of Lasers, 43, 0514002(2016).

    [9] RottensteinerF, SohnG, JungJ, et al. The ISPRS benchmark on urban object classification and 3D building reconstruction[C]. ISPRS Annals of the Photogrammetry, RemoteSensing and Spatial InformationSciences, 2012, 1/2/3: 293-298.

    [10] Guan H Y. Research on objects classification and simple buildings reconstruction based on digital images and LiDAR[D]. Wuhan: Wuhan University, 85-86(2009).

    [11] Breiman L. Random forests[J]. Machine Learning, 45, 5-32(2001). http://icb.oxfordjournals.org/external-ref?access_num=10.1023/A:1010933404324&link_type=DOI

    [12] Sun J, Lai Z L. Airborne LiDAR feature selection for urban classification using random forests[J]. Geomatics and Information Science of Wuhan University, 39, 1310-1313(2014).

    [13] Li D W, Yang F B, Wang X X. Multisource remote sensing classification based on random forest and adaptive weighted D-S evidence synthesis[J]. Laser & Optoelectronics Progress, 53, 031001(2016).

    [14] Yao D J, Yang J, Zhan X J. Feature selection algorithm based on random forest[J]. Journal of Jilin University (Engineering and Technology Edition), 44, 137-141(2014).

    [15] Zhang A W, Xiao T, Duan Y H. A method of adaptive selecting for airborne LiDAR point cloud classification[J]. Laser & Optoelectronics Progress, 53, 082802(2016).

    [18] Niemeyer J, Rottensteiner F, Soergel U. Conditional random fields for LIDAR point cloud classification in complex urban areas[C]. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 1, 263-268(2012).

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    [2] Bowen Deng, Zhaoba Wang, Yong Jin, Youxing Chen, Qizhou Wu, Haiyang Li. Feature Extraction Method of Laser Scanning Point Cloud Based on Morphological Gradient[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051203

    [3] Qi He, Yao Li, Wei Song, Dongmei Huang, Shengqi He, Yanling Du. Multimodal Remote Sensing Image Classification with Small Sample Size Based on High-Level Feature Fusion[J]. Laser & Optoelectronics Progress, 2019, 56(11): 111001

    Manyun He, Yinglei Cheng, Xiangjiang Liao, Zhongyang Zhao. Building Extraction Algorithm by Fusing Spectral and Geometrical Features[J]. Laser & Optoelectronics Progress, 2018, 55(4): 042803
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