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Articles

Accuracy test of point-based and object-based urban building feature classification and extraction applying airborne LiDAR data

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Pages 710-730 | Received 27 Mar 2013, Accepted 07 Aug 2013, Published online: 06 Dec 2013

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Alper Sen, Baris Suleymanoglu & Metin Soycan. (2023) Performance of unsupervised machine learning methods using chi-squared weights for LiDAR point cloud filtering in urban areas. Journal of Spatial Science 68:3, pages 397-414.
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Alper Sen, Baris Suleymanoglu & Metin Soycan. (2020) Unsupervised extraction of urban features from airborne lidar data by using self-organizing maps. Survey Review 52:371, pages 150-158.
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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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Articles from other publishers (4)

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, Wei Gong, Qingjun Zhang, Jian Yang, Lin Du, Jia Sun, Zhenbing Zhang & Shalei Song. (2017) Multispectral LiDAR Point Cloud Classification: A Two-Step Approach. Remote Sensing 9:4, pages 373.
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Binbin Xiang, Jian Yao, Xiaohu Lu, Li Li & Renping Xie. (2016) Segmentation-based classification for 3D urban point clouds. Segmentation-based classification for 3D urban point clouds.
Dominykas Šlikas. 2013. Development of terrestrial laser scanners calibration methodology. Development of terrestrial laser scanners calibration methodology.

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