Segmentation of Airborne Point Cloud Data for Automatic Building Roof Extraction by Syed Ali Naqi Gilani, Mohammad Awrangjeb, Guojun Lu

“…The proposed technique has been tested using the International Society for Photogrammetry and Remote Sensing benchmark and three Australian datasets, which differ in terrain, point density, building sizes, and vegetation. …”
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Towards a collaborative global land cover information service by Jun Chen, Songnian Li, Hao Wu, Xianjun Chen

“…The paper further proposes that CoGland be developed within the framework of the Group on Earth Observations with the support of a number of key organizations such as the United Nations Expert Committee on Global Geospatial Information Management, the International Society for Photogrammetry and Remote Sensing, and International Society of Digital Earth. …”
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Semantic Segmentation of Aerial Imagery via Split-Attention Networks with Disentangled Nonlocal and Edge Supervision by Cheng Zhang, Wanshou Jiang, Qing Zhao

“…Evaluation of algorithms is conducted on two benchmarks provided by the International Society for Photogrammetry and Remote Sensing (ISPRS). Extensive experiments demonstrate the effectiveness of each module of our architecture. …”
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A Graph-Voxel Joint Convolution Neural Network for ALS Point Cloud Segmentation by Jinming Zhang, Xiangyun Hu, Hengming Dai

“…Experiments on the semantic 3D labeling dataset of the International Society for Photogrammetry and Remote Sensing (ISPRS) and 2019 IEEE Data Fusion Contest Dataset demonstrate that the proposed model significantly improve the highest F1 score and outperforms various previous networks.…”
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EANet: Edge-Aware Network for the Extraction of Buildings from Aerial Images by Guang Yang, Qian Zhang, Guixu Zhang

“…The International Society for Photogrammetry and Remote Sensing (ISPRS) Potsdam segmentation benchmark and the Wuhan University (WHU) building benchmark were used to evaluate our approach, which, respectively, was found to achieve 90.19% and 93.33% intersection-over-union and top performance without using additional datasets, data augmentation, and post-processing. …”
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Geometric Refinement of ALS-Data Derived Building Models Using Monoscopic Aerial Images by Małgorzata Jarząbek-Rychard, Hans-Gerd Maas

“…The assessment performed within a framework of the International Society for Photogrammetry and Remote Sensing (ISPRS) benchmark shows an increase in the final quality indicator up to 8.7%.…”
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Estimation of co- and postseismic deformation after the mw 8.6 nias-semeulue and mw 8.5 bengkulu earthquakes from continuous GPS data by Aris, W. A. W., Musa, T. A., Omar, K.

Integrating multiple criteria evaluation and gis in ecotourism: a review by Mohd, Z. H., Ujang, U.

Geospatial database for strata objects based on land administration domain modeL (LADM) by Nasorudin, N. N., Hassan, M. I., Zulkifli, N. A., Rahman, A. A.

3D topological indoor building modeling integrated with open street map by Jamali, A., Rahman, A. A., Boguslawski, P.

Reconstruction of Complex Roof Semantic Structures from 3D Point Clouds Using Local Convexity and Consistency by Pingbo Hu, Yiming Miao, Miaole Hou

“…The experimental modeling results, including the assessment using the International Society for Photogrammetry and Remote Sensing (ISPRS) benchmark LiDAR datasets, demonstrate that the proposed modeling method can efficiently decompose complex building models into interpretable semantic structures.…”
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Graph Attention Feature Fusion Network for ALS Point Cloud Classification by Jie Yang, Xinchang Zhang, Yun Huang

“…We evaluate the performance of our method on a publicly available ALS point cloud dataset provided by the International Society for Photogrammetry and Remote Sensing (ISPRS). The experimental results show that our method can effectively distinguish nine types of ground objects. …”
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An Improved Ball Pivot Algorithm-Based Ground Filtering Mechanism for LiDAR Data by Wei Ma, Qingquan Li

“…Our experimental results on the Benchmark dataset provided by the International Society for Photogrammetry and Remote Sensing (ISPRS) Working Group III/3 showed high accuracy (with a mean kappa coefficient over 80%) in terms of completeness, correctness, and quality for DEM generation. …”
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A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching by Jae-Hyun Park, Woo-Jeoung Nam, Seong-Whan Lee

“…For the experiment, we adopt aerial images from Google Earth and the International Society for Photogrammetry and Remote Sensing (ISPRS). To quantitatively assess our result, we apply the probability of correct keypoints (PCK) metric, which measures the degree of matching. …”
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IMAGE-GUIDED NON-LOCAL DENSE MATCHING WITH THREE-STEPS OPTIMIZATION by X. Huang, Y. Zhang, Z. Yue

“…The results of our experiments using the benchmarks and the Toronto aerial images from the International Society for Photogrammetry and Remote Sensing (ISPRS) show that the proposed new method can outperform most of the current state-of-the-art stereo dense matching methods.…”
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Geopackage data format for collaborative mapping of geospatial data in limited network environments by Rashidan, M. H., Musliman, I. A., Rahman, A. A.

3D navigation system for virtual reality based on 3D game engine by K. H., Sharkawi, Ujang, Muhamad Uznir, Abdul Rahman, Alias

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Segmentation and Multi-Scale Convolutional Neural Network-Based Classification of Airborne Laser Scanner Data by Zhishuang Yang, Bo Tan, Huikun Pei, Wanshou Jiang

“…In order to obtain performance comparisons with existing approaches, we evaluated our framework using the International Society for Photogrammetry and Remote Sensing Working Groups II/4 (ISPRS WG II/4) 3D labeling benchmark tests. …”
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Registration of Urban Aerial Image and LiDAR Based on Line Vectors by Qinghong Sheng, Qi Wang, Xinyue Zhang, Bo Wang, Bin Zhang, Zhengning Zhang

“…Three types of datasets consisting of synthetic, theInternational Society for Photogrammetry and Remote Sensing (ISPRS) test project, and real aerial data are used. …”
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LiDAR Filtering in 3D Object Detection Based on Improved RANSAC by Bingxu Wang, Jinhui Lan, Jiangjiang Gao

“…We use the International Society for Photogrammetry and Remote Sensing (ISPRS) datasets and the KITTI dataset for testing. …”
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