A robust segmentation framework for closely packed buildings from airborne LiDAR point clouds
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Title
A robust segmentation framework for closely packed buildings from airborne LiDAR point clouds
Authors
Keywords
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Journal
INTERNATIONAL JOURNAL OF REMOTE SENSING
Volume 41, Issue 14, Pages 5147-5165
Publisher
Informa UK Limited
Online
2020-04-13
DOI
10.1080/01431161.2020.1727053
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- (2016) Fevzi Karsli et al. Arabian Journal of Geosciences
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- (2014) Mohammad Awrangjeb et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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- (2014) Domen Mongus et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- A global optimization approach to roof segmentation from airborne lidar point clouds
- (2014) Jixing Yan et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Results of the ISPRS benchmark on urban object detection and 3D building reconstruction
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- (2009) A. Sampath et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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