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Geocarto International Volume 31, 2016 - Issue 2
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Articles

Object-oriented semantic labelling of spectral–spatial LiDAR point cloud for urban land cover classification and buildings detection

Anandakumar M. RamiyaDepartment of Earth and Space Sciences, Indian Institute of Space Science and Technology, Thiruvananthapuram, IndiaCorrespondence[email protected]
,
Rama Rao NidamanuriDepartment of Earth and Space Sciences, Indian Institute of Space Science and Technology, Thiruvananthapuram, India
&
Ramakrishnan KrishnanSchool of Engineering, Amrita Vishwa Vidyapeetam, Coimbatore, India
Pages 121-139 | Received 02 Dec 2014, Accepted 06 Mar 2015, Published online: 06 May 2015

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Jiaming Xue, Chaoguang Men, Yongmei Liu & Shun Xiong. (2023) Adaptive neighbourhood recovery method for machine learning based 3D point cloud classification. International Journal of Remote Sensing 44:1, pages 311-340.
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Liu Zhiqing, Li Pengcheng, Xu Qing, Xing Shuai & Zhou Yang. (2020) Point-cloud detection of buildings based on a latent Dirichlet allocation model with waveform data. Remote Sensing Letters 11:3, pages 235-244.
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Yanjun Wang, Qi Chen, Lin Liu & Kai Li. (2019) A Hierarchical unsupervised method for power line classification from airborne LiDAR data. International Journal of Digital Earth 12:12, pages 1406-1422.
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Anandakumar M. Ramiya, Rama Rao Nidamanuri & Ramakrishnan Krishnan. (2019) Assessment of various parameters on 3D semantic object-based point cloud labelling on urban LiDAR dataset. Geocarto International 34:8, pages 817-838.
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Binbin Xiang, Jian Yao, Xiaohu Lu, Li Li, Renping Xie & Jie Li. (2018) Segmentation-based classification for 3D point clouds in the road environment. International Journal of Remote Sensing 39:19, pages 6182-6212.
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Anandakumar M. Ramiya, Rama Rao Nidamanuri & Krishnan Ramakrishnan. (2016) A supervoxel-based spectro-spatial approach for 3D urban point cloud labelling. International Journal of Remote Sensing 37:17, pages 4172-4200.
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Articles from other publishers (12)

Yetao Yang, Rongkui Tang, Jinglei Wang & Mengjiao Xia. (2021) A hierarchical deep neural network with iterative features for semantic labeling of airborne LiDAR point clouds. Computers & Geosciences 157, pages 104932.
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Zhenghui Yi, Haotong Wang, Guangyao Duan & Zhen Wang. (2020) An Airborne LiDAR Building-Extraction Method Based on the Naive Bayes–RANSAC Method for Proportional Segmentation of Quantitative Features. Journal of the Indian Society of Remote Sensing 49:2, pages 393-404.
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Maarten Bassier, Maarten Vergauwen & Florent Poux. (2020) Point Cloud vs. Mesh Features for Building Interior Classification. Remote Sensing 12:14, pages 2224.
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Yang, Wu, Wang, Chen & Wang. (2019) Two-Layered Graph-Cuts-Based Classification of LiDAR Data in Urban Areas. Sensors 19:21, pages 4685.
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Binbin Xiang, Jingmin Tu, Jian Yao & Li Li. (2019) A Novel Octree-Based 3-D Fully Convolutional Neural Network for Point Cloud Classification in Road Environment. IEEE Transactions on Geoscience and Remote Sensing 57:10, pages 7799-7818.
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Biwu Chen, Shuo Shi, Jia Sun, Wei Gong, Jian Yang, Lin Du, Kuanghui Guo, Binhui Wang & Bowen Chen. (2019) Hyperspectral lidar point cloud segmentation based on geometric and spectral information. Optics Express 27:17, pages 24043.
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Katsuya Ogura, Yuma Yamada, Shugo Kajita, Hirozumi Yamaguchi, Teruo Higashino & Mineo Takai. (2019) Ground object recognition and segmentation from aerial image‐based 3D point cloud. Computational Intelligence 35:3, pages 625-642.
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Zdzisław Kowalczuk & Karol Szymański. (2019) Classification of objects in the LIDAR point clouds using Deep Neural Networks based on the PointNet model. IFAC-PapersOnLine 52:8, pages 416-421.
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Yanjun Wang, Qi Chen, Lin Liu, Xiong Li, Arun Kumar Sangaiah & Kai Li. (2018) Systematic Comparison of Power Line Classification Methods from ALS and MLS Point Cloud Data. Remote Sensing 10:8, pages 1222.
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Yanjun Wang, Qi Chen, Lin Liu, Dunyong Zheng, Chaokui Li & Kai Li. (2017) Supervised Classification of Power Lines from Airborne LiDAR Data in Urban Areas. Remote Sensing 9:8, pages 771.
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Xiaopu Qiu, Yaping Zhang & Yun Zhou. (2017) Automatic extraction of boundary characteristic from non — Closed point cloud model. Automatic extraction of boundary characteristic from non — Closed point cloud model.
Anandakumar M. Ramiya, Rama Rao Nidamanuri & Ramakrishan Krishnan. (2017) Segmentation based building detection approach from LiDAR point cloud. The Egyptian Journal of Remote Sensing and Space Science 20:1, pages 71-77.
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