Deep Feature Fusion with Integration of Residual Connection and Attention Model for Classification of VHR Remote Sensing Images by Jicheng Wang, Li Shen, Wenfan Qiao, Yanshuai Dai, Zhilin Li

“…The results were submitted to the International Society for Photogrammetry and Remote Sensing (ISPRS) online contest for comparison with more than 50 other methods. …”
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ALS Point Cloud Classification by Integrating an Improved Fully Convolutional Network into Transfer Learning with Multi-Scale and Multi-View Deep Features by Xiangda Lei, Hongtao Wang, Cheng Wang, Zongze Zhao, Jianqi Miao, Puguang Tian

“…We tested our method on the semantic 3D labeling dataset of the International Society for Photogrammetry and Remote Sensing (ISPRS). Experimental results show that overall accuracy and the average F1 score obtained by the proposed method is 89.84% and 83.62%, respectively, when only 16,000 points of the original data are used for training.…”
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Automatic Building Extraction via Adaptive Iterative Segmentation With LiDAR Data and High Spatial Resolution Imagery Fusion by Shanxiong Chen, Wenzhong Shi, Mingting Zhou, Min Zhang, Pengfei Chen

“…Experiments were conducted on the international society for photogrammetry and remote sensing (ISPRS) Vaihingen benchmark dataset. …”
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Roof Segmentation From Airborne LiDAR Using Octree-Based Hybrid Region Growing and Boundary Neighborhood Verification Voting by Ke Liu, Hongchao Ma, Liang Zhang, Xiaoli Liang, Dachang Chen, Yihang Liu

“…Experimental results of four datasets, including two datasets provided by the International Society for Photogrammetry and Remote Sensing and two high-density datasets provided by OpenTopography, verify that roof planes can be successfully segmented by the proposed method with over 96.8% completeness and a minimum of 93.2% correctness. …”
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Investigation on Roof Segmentation for 3D Building Reconstruction from Aerial LIDAR Point Clouds by Raffaele Albano

“…The benchmark LIDAR point clouds and related reference data (generated by stereo plotting) of 58 buildings over downtown Toronto (Canada), made available to the scientific community by the International Society for Photogrammetry and Remote Sensing (ISPRS), have been used to evaluate the quality of the two proposed segmentation approaches by analysing the geometrical accuracy of the roof polygons. …”
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Learning urban region representations with POIs and hierarchical graph infomax by Huang, Weiming, Zhang, Daokun, Mai, Gengchen, Guo, Xu, Cui, Lizhen

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Evaluating error of lidar derived dem interpolation for vegetation area by Ismail, Z., Abdul Khanan, M. F., Omar, F. Z., Abdul Rahman, M. Z., Mohd Salleh, M. R.

Gravity anomaly assessment using ggms and airborne gravity data towards bathymetry estimatioN by Tugi, A., Din, A. H. M., Omar, K. M., Mardi, A. S., Soma, Z. A. M., Omar, A. H., Yahaya, N. A. Z., Yazid, N.

Acceleration of sea level rise over Malaysian seas from satellite altimeter by Hamida, A. I. A., Dina, A. H. M., Khalid, N. F., Omar, K. M.

Estimation of aerodynamic roughness and zero plane displacement using medium density of airborne lidar data by Mohd Salleh, M. R., Abdul Rahman, M. Z., Abu Bakar, M. A., Rasib, A. W., Omar, H.

Semi-automated approach for mapping urban trees from integrated aerial lidar point cloud and digital imagery datasets by Dogon-Yaro, M. A., Kumar, P., Abdul Rahman, A., Buyuksalih, G.

3D geomarketing segmentation: a higher spatial dimension planning perspective by Suhaibah, A., Uznir, U., Rahman, A. A., Anton, F., Mioc, D.

Gold mineral prospecting using Phased Array type L-band Synthetic Aperture Radar (PALSAR) satellite remote sensing data, central gold belt, Malaysia by Pour, A. B., Hashim, M.

Assessment of multibeam backscatter texture analysis for seafloor sediment classification by Samsudin, S. A., Hasan, R. C.

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AUTOMATIC TEXTURE MAPPING METHOD FOR 3D MODELS TO CIRCUMVENT OCCLUSION THROUGH 3D SPATIAL THROUGH-VIEW RELATIONSHIPS BETWEEN IMAGES,MODELS, AND POINT CLOUDS by H. Liu, L. Xie, X. Li, W. X. Wang

“…In this paper, the public test datasets released by the International Society for Photogrammetry and Remote Sensing (ISPRS) and several urban area datasets collected by ourselves are incorporated to test the performance of the proposed method. …”
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Implicit Regularization for Reconstructing 3D Building Rooftop Models Using Airborne LiDAR Data by Jaewook Jung, Yoonseok Jwa, Gunho Sohn

“…The performance of the proposed method is tested over the International Society for Photogrammetry and Remote Sensing (ISPRS) benchmark datasets. …”
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A Supervoxel-Based Random Forest Method for Robust and Effective Airborne LiDAR Point Cloud Classification by Lingfeng Liao, Shengjun Tang, Jianghai Liao, Xiaoming Li, Weixi Wang, Yaxin Li, Renzhong Guo

“…Two International Society of Photogrammetry and Remote Sensing benchmark tests show that the proposed method achieves state-of-the-art performance, with average F1-scores of 89.16 and 83.58, respectively. …”
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Ground and Multi-Class Classification of Airborne Laser Scanner Point Clouds Using Fully Convolutional Networks by Aldino Rizaldy, Claudio Persello, Caroline Gevaert, Sander Oude Elberink, George Vosselman

“…We obtained a lower total error on both the International Society for Photogrammetry and Remote Sensing (ISPRS) filter test benchmark dataset and AHN-3 dataset in the Netherlands. …”
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OPEN SOURCE SOFTWARE AND OPEN EDUCATIONAL MATERIAL ON LAND COVER MAPS INTERCOMPARISON AND VALIDATION by M. A. Brovelli, H. Wu, M. Minghini, M. E. Molinari, C. E. Kilsedar, X. Zheng, P. Shu, J. Chen

“…This paper presents the project “Capacity Building for High-Resolution Land Cover Intercomparison and Validation”, an educational initiative funded by the International Society for Photogrammetry and Remote Sensing (ISPRS) and mainly targeting developing countries. …”
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Open-source digital elevation model (DEMs) evaluation with gps and lidar data by Khalid, N. F., Din, A. H. M., Omar, K. M., Khanan, M. F. A., Omar, A. H., Hamid, A. I. A., Pa'Suya, M. F.