A Hierarchical Approach for Point Cloud Classification With 3D Contextual Features by Chen-Chieh Feng, Zhou Guo

“…The proposed method was tested on two point cloud datasets:the National University of Singapore (NUS) dataset and the Vaihingen benchmark dataset of the International Society of Photogrammetry and Remote Sensing. The evaluation results showed that the proposed method achieved an overall accuracy of 92.51% and 82.34% for the NUS dataset and Vaihingen dataset, respectively. …”
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CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation by Xin Chen, Dongfen Li, Mingzhe Liu, Jiaru Jia

“…Finally, compared to other models used in the experiments, our CTFuse achieves state-of-the-art results on the International Society of Photogrammetry and Remote Sensing (ISPRS) Vaihingen and ISPRS Potsdam datasets.…”
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Multi-information PointNet++ fusion method for DEM construction from airborne LiDAR data by Hong Hu, Guanghe Zhang, Jianfeng Ao, Chunlin Wang, Ruihong Kang, Yanlan Wu

“…Low and high density point clouds obtained from the International Society for Photogrammetry and Remote Sensing (ISPRS) and the United States Geological Survey (USGS) were used to test this proposed method. …”
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Application of GIS-planning decision support system in predicting development impact assessment by Asmawi, M. Zainora, Abdullah, Muhammad Faris, Abdullah, Alias, Shahbudin, Muhamad Nur Azraei

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Utilization of landsat-8 data for lithological mapping of basement rocks of plateau state north central Nigeria by Amusuk, D. J., Hashim, M., Pour, A. B., Musa, S. I.

ICSF: An Improved Cloth Simulation Filtering Algorithm for Airborne LiDAR Data Based on Morphological Operations by Shangshu Cai, Sisi Yu, Zhenyang Hui, Zhanzhong Tang

“…The performance of ICSF was assessed using International Society for Photogrammetry and Remote Sensing urban and rural samples and Open Topography forested samples. …”
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DMAU-Net: An Attention-Based Multiscale Max-Pooling Dense Network for the Semantic Segmentation in VHR Remote-Sensing Images by Yang Yang, Junwu Dong, Yanhui Wang, Bibo Yu, Zhigang Yang

“…To validate the ground object classification performance of the multi-pooling integration network proposed in this paper, we conducted experiments on the Vaihingen and Potsdam datasets provided by the International Society for Photogrammetry and Remote Sensing (ISPRS). We compared DMAU-Net with other mainstream semantic segmentation models. …”
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FORGING AHEAD AND ADAPTING TO CHANGE: A REVIEW OF THE INITIATIVES OF THE ISPRS STUDENT CONSORTIUM by S. R. C. Reyes, C. A. Cruz

“…The International Society for Photogrammetry and Remote Sensing Student Consortium (ISPRS SC) is an international organization that represents a constituency of the students and the young professionals with common interests and goals within ISPRS in the areas of photogrammetry, remote sensing and spatial information science. …”
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On the Importance of 3D Surface Information for Remote Sensing Classification Tasks by Jan Petrich, Ryan Sander, Eliza Bradley, Adam Dawood, Shawn Hough

“…We assess classification performance using multispectral imagery from the International Society for Photogrammetry and Remote Sensing (ISPRS) 2D Semantic Labeling contest and the United States Special Operations Command (USSOCOM) Urban 3D Challenge. …”
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Building Extraction from Airborne LiDAR Data Based on Min-Cut and Improved Post-Processing by Ke Liu, Hongchao Ma, Haichi Ma, Zhan Cai, Liang Zhang

“…Experiments of seven datasets, including five datasets provided by the International Society for Photogrammetry and Remote Sensing (ISPRS), one dataset with high-density point data and one dataset with dense buildings, verify that most buildings, even with curved roofs, are successfully extracted by the proposed method, with over 94.1% completeness and a minimum 89.8% correctness at the per-area level. …”
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A Deep Neural Network Using Double Self-Attention Mechanism for ALS Point Cloud Segmentation by Lili Yu, Haiyang Yu, Shuai Yang

“…We evaluated the performance of our method on the Vaihingen dataset of the International Society for Photogrammetry and Remote Sensing (ISPRS) and the GML(B) 3D dataset. …”
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Building Extraction from Airborne LiDAR Data Based on Multi-Constraints Graph Segmentation by Zhenyang Hui, Zhuoxuan Li, Penggen Cheng, Yao Yevenyo Ziggah, JunLin Fan

“…The proposed method was tested and validated using three datasets provided by the International Society for Photogrammetry and Remote Sensing (ISPRS). Experimental results show that the proposed method can achieve the best building extraction results. …”
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IMPROVED TORNADO METHOD FOR GROUND POINT FILTERING FROM LIDAR POINT CLOUDS by A. Mahphood, A. Mahphood, H. Arefi, H. Arefi

“…In addition, this method was tested on the International Society for Photogrammetry and Remote Sensing (ISPRS) datasets and produced outstanding results. …”
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Land Use Classification of the Deep Convolutional Neural Network Method Reducing the Loss of Spatial Features by Xuedong Yao, Hui Yang, Yanlan Wu, Penghai Wu, Biao Wang, Xinxin Zhou, Shuai Wang

“…The proposed DCCN achieved an obvious performance in terms of the public ISPRS (International Society for Photogrammetry and Remote Sensing) 2D semantic labeling benchmark dataset. …”
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An Active Learning Method for DEM Extraction From Airborne LiDAR Point Clouds by Zhenyang Hui, Shuanggen Jin, Penggen Cheng, Yao Yevenyo Ziggah, Leyang Wang, Yuqian Wang, Haiying Hu, Youjian Hu

“…Three datasets with different filtering challenges provided by the International Society for Photogrammetry and Remote Sensing (ISPRS) were used to test the proposed method. …”
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A novel fast classification filtering algorithm for LiDAR point clouds based on small grid density clustering by Xingsheng Deng, Guo Tang, Qingyang Wang

“…The experiment uses 15 sets of data samples provided by the International Society for Photogrammetry and Remote Sensing (ISPRS), and the results of the proposed algorithm are compared with the other eight classical filtering algorithms. …”
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Visual perception driven 3D building structure representation from airborne laser scanning point cloud by Pingbo Hu, Bisheng Yang

“…Results: Two airborne laser scanning (ALS) datasets with different point densities and roof styles were tested, and the performance evaluation metrics are obtained by the International Society for Photogrammetry and Remote Sensing (ISPRS), achieving correctness and accuracy in terms of 97.7% and 0.29m, respectively. …”
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A Building Detection Method Based on Semi-Suppressed Fuzzy C-Means and Restricted Region Growing Using Airborne LiDAR by Zhan Cai, Hongchao Ma, Liang Zhang

“…Experimental results on five datasets, including three datasets that were provided by the International Society for Photogrammetry and Remote Sensing (ISPRS) and two Chinese datasets, verify that most buildings and non-buildings can be well separated during our coarse building detection process. …”
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Classification of Airborne Laser Scanning Point Cloud Using Point-Based Convolutional Neural Network by Jianfeng Zhu, Lichun Sui, Yufu Zang, He Zheng, Wei Jiang, Mianqing Zhong, Fei Ma

“…The proposed method is evaluated on two ALS datasets: the International Society for Photogrammetry and Remote Sensing (ISPRS) Vaihingen 3D Labeling benchmark and the 2019 IEEE Geoscience and Remote Sensing Society (GRSS) Data Fusion Contest (DFC) 3D dataset. …”
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Building Extraction in Very High Resolution Imagery by Dense-Attention Networks by Hui Yang, Penghai Wu, Xuedong Yao, Yanlan Wu, Biao Wang, Yongyang Xu

“…Experimental results based on public international society for photogrammetry and remote sensing (ISPRS) datasets with only red&#8315;green&#8315;blue (RGB) images demonstrated that the proposed DAN achieved a higher score (96.16% overall accuracy (<i>OA)</i>, 92.56% <i>F</i>1 score, 90.56% mean intersection over union (<i>MIOU)</i>, less training and response time and higher-quality value) when compared with other deep learning methods.…”
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