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International Journal of Remote Sensing Volume 37, 2016 - Issue 13
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Articles

Bare-earth extraction and DTM generation from photogrammetric point clouds including the use of an existing lower-resolution DTM

Misganu Debella-GiloGeomatics Department, Mapping and Statistics Division, Norwegian Institute of Bioeconomy Research (NIBIO), Ås, NorwayCorrespondence[email protected]
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Pages 3104-3124 | Received 23 Nov 2015, Accepted 13 May 2016, Published online: 28 Jun 2016

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R. Jaganathan, Dharshan Shylesh D. S.Jeenu John. (2022) A localized counter-based filtering approach for generating digital terrain model from medium resolution digital surface model. Geocarto International 37:26, pages 13229-13247.
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Rasmus Astrup, Johannes Rahlf, Knut Bjørkelo, Misganu Debella-Gilo, Arnt-Kristian Gjertsen & Johannes Breidenbach. (2019) Forest information at multiple scales: development, evaluation and application of the Norwegian forest resources map SR16. Scandinavian Journal of Forest Research 34:6, pages 484-496.
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Articles from other publishers (14)

Jan Komárek, Ondřej Lagner & Tomáš Klouček. (2024) UAV leaf-on, leaf-off and ALS-aided tree height: A case study on the trees in the vicinity of roads. Urban Forestry & Urban Greening 93, pages 128229.
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Haruki Oshio, Keiichiro Yashima & Masashi Matsuoka. (2024) Generating DTM From DSM Using a Conditional GAN in Built-Up Areas. IEEE Geoscience and Remote Sensing Letters 21, pages 1-5.
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Nannan Qin, Weikai Tan, Haiyan Guan, Lanying Wang, Lingfei Ma, Pengjie Tao, Sarah Fatholahi, Xiangyun Hu & Jonathan Li. (2023) Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey. International Journal of Applied Earth Observation and Geoinformation 125, pages 103566.
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Hoang-An Le, Florent Guiotte, Minh-Tan Pham, Sebastien Lefevre & Thomas Corpetti. (2022) Learning Digital Terrain Models From Point Clouds: ALS2DTM Dataset and Rasterization-Based GAN. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15, pages 4980-4989.
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Vahid NasiriAli A. DarvishsefatHossein ArefiMarc Pierrot-DeseillignyManochehr NamiranianArnaud Le Bris. (2021) Unmanned aerial vehicles (UAV)-based canopy height modeling under leaf-on and leaf-off conditions for determining tree height and crown diameter (case study: Hyrcanian mixed forest). Canadian Journal of Forest Research 51:7, pages 962-971.
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Luka Jurjević, Mateo Gašparović, Xinlian Liang & Ivan Balenović. (2021) Assessment of Close-Range Remote Sensing Methods for DTM Estimation in a Lowland Deciduous Forest. Remote Sensing 13:11, pages 2063.
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Yu Tian, Zhengfu Bian, Shaogang Lei, Chuning Ji, Yibo Zhao, Shubi Zhang, Lei Duan & Vladimir Sedlak. (2021) A Process-Oriented Method for Rapid Acquisition of Canopy Height Model From RGB Point Cloud in Semiarid Region. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, pages 12187-12198.
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Mahmoud Salah. (2020) Filtering of remote sensing point clouds using fuzzy C-means clustering. Applied Geomatics 12:3, pages 307-321.
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Qian Qian, Bingnan Wang, Xiaoning Hu & Maosheng Xiang. (2020) Coherent Markov Random Field-Based Unreliable DSM Areas Segmentation and Hierarchical Adaptive Surface Fitting for InSAR DEM Reconstruction. Sensors 20:5, pages 1414.
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Mohammad Maleki, Jalal Amini & Claudia Notarnicola. (2019) Soil roughness retrieval from TerraSar-X data using neural network and fractal method. Advances in Space Research 64:5, pages 1117-1129.
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Liuyun Duan, Mathieu Desbrun, Anne Giraud, Frederic Trastour & Lionel Laurore. (2019) Large-Scale DTM Generation From Satellite Data. Large-Scale DTM Generation From Satellite Data.
C.M. Gevaert, C. Persello, F. Nex & G. Vosselman. (2018) A deep learning approach to DTM extraction from imagery using rule-based training labels. ISPRS Journal of Photogrammetry and Remote Sensing 142, pages 106-123.
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Yanfeng Zhang, Yongjun Zhang, Zhang Yunjun & Zongze Zhao. (2017) A Two-Step Semiglobal Filtering Approach to Extract DTM From Middle Resolution DSM. IEEE Geoscience and Remote Sensing Letters 14:9, pages 1599-1603.
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Ziyue Chen, Bingbo Gao & Bernard Devereux. (2017) State-of-the-Art: DTM Generation Using Airborne LIDAR Data. Sensors 17:12, pages 150.
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