Integration Data Model of the Bathymetric Monitoring System for Shallow Waterbodies Using UAV and USV Platforms
暂无分享,去创建一个
C. Specht | Mariusz Specht | A. Stateczny | B. Szostak | Oktawia Lewicka | David Brčić | G. Dardanelli | Szymon Widzgowski | Armin Halicki | Marcin Stateczny
[1] C. Specht,et al. Analysis of Transformation Methods of Hydroacoustic and Optoelectronic Data Based on the Tombolo Measurement Campaign in Sopot , 2022, Remote Sensing.
[2] D. Alexakis,et al. Fusion of Drone-Based RGB and Multi-Spectral Imagery for Shallow Water Bathymetry Inversion , 2022, Remote. Sens..
[3] L. Read,et al. GLOBathy, the global lakes bathymetry dataset , 2022, Scientific data.
[4] Jiayong Yu,et al. Evaluation of a New Lightweight UAV-Borne Topo-Bathymetric LiDAR for Shallow Water Bathymetry and Object Detection , 2022, Sensors.
[5] Jacek Lubczonek,et al. Methodology for Combining Data Acquired by Unmanned Surface and Aerial Vehicles to Create Digital Bathymetric Models in Shallow and Ultra-Shallow Waters , 2021, Remote. Sens..
[6] S. Massuel,et al. Deriving bathymetries from unmanned aerial vehicles: a case study of a small intermittent reservoir , 2021, Hydrological Sciences Journal.
[7] Andrzej Stateczny,et al. Analysis of GNSS, Hydroacoustic and Optoelectronic Data Integration Methods Used in Hydrography , 2021, Sensors.
[8] M. Ma,et al. Mapping topo-bathymetry of transparent tufa lakes using UAV-based photogrammetry and RGB imagery , 2021 .
[9] C. Specht,et al. Concept of an Innovative Autonomous Unmanned System for Bathymetric Monitoring of Shallow Waterbodies (INNOBAT System) , 2021, Energies.
[10] Paweł Burdziakowski,et al. Integration of Multi-Source Geospatial Data from GNSS Receivers, Terrestrial Laser Scanners, and Unmanned Aerial Vehicles , 2021 .
[11] C. Specht,et al. Determining the Seasonal Variability of the Territorial Sea Baseline in Poland (2018–2020) Using Integrated USV/GNSS/SBES Measurements , 2021, Energies.
[12] Carlos H. Llanos,et al. Multi-objective adaptive differential evolution for SVM/SVR hyperparameters selection , 2021, Pattern Recognit..
[13] L. Hua,et al. The research of artificial shoreline extraction based on airborne LIDAR data , 2021 .
[14] Takumi Okabe,et al. Unmanned Aerial Vehicle Depth Inversion to Monitor River-Mouth Bar Dynamics , 2021, Remote. Sens..
[15] Tomasz Templin,et al. Bathymetric Monitoring of Alluvial River Bottom Changes for Purposes of Stability of Water Power Plant Structure with a New Methodology for River Bottom Hazard Mapping (Wloclawek, Poland) , 2020, Sensors.
[16] Ruru Deng,et al. Universal algorithm for water depth refraction correction in through-water stereo remote sensing , 2020, Int. J. Appl. Earth Obs. Geoinformation.
[17] Cezary Specht,et al. The Use of USV to Develop Navigational and Bathymetric Charts of Yacht Ports on the Example of National Sailing Centre in Gdańsk , 2020, Remote. Sens..
[18] Cezary Specht,et al. Using UAV Photogrammetry to Analyse Changes in the Coastal Zone Based on the Sopot Tombolo (Salient) Measurement Project , 2020, Sensors.
[19] C. Specht,et al. Methodology for Carrying out Measurements of the Tombolo Geomorphic Landform Using Unmanned Aerial and Surface Vehicles near Sopot Pier, Poland , 2020, Journal of Marine Science and Engineering.
[20] Claudio Delrieux,et al. Mapping Topobathymetry in a Shallow Tidal Environment Using Low-Cost Technology , 2020, Remote. Sens..
[21] Giulia Sofia,et al. Structure from motion photogrammetric technique , 2020 .
[22] Khomsin,et al. Analysis of the green light penetration from Airborne LiDAR Bathymetry in Shallow Water Area , 2019, IOP Conference Series: Earth and Environmental Science.
[23] Alejandro Orfila,et al. UBathy: A New Approach for Bathymetric Inversion from Video Imagery , 2019, Remote. Sens..
[24] Georg Heygster,et al. Monitoring Beach Topography and Nearshore Bathymetry Using Spaceborne Remote Sensing: A Review , 2019, Remote. Sens..
[25] Jaehyun Shin,et al. Retrieving shallow stream bathymetry from UAV-assisted RGB imagery using a geospatial regression method , 2019, Geomorphology.
[26] S. Keesstra,et al. Comparing Filtering Techniques for Removing Vegetation from UAV-Based Photogrammetric Point Clouds , 2019, Drones.
[27] M. Wąż,et al. Methodology for Performing Territorial Sea Baseline Measurements in Selected Waterbodies of Poland , 2019, Applied Sciences.
[28] Shinji Sato,et al. Development of an imagery-based monitoring system for nearshore bathymetry by using wave breaking density , 2019, Coastal Engineering Journal.
[29] Sandra G. García-Galiano,et al. Use of Drones for the Topo-Bathymetric Monitoring of the Reservoirs of the Segura River Basin , 2019, Water.
[30] Andrzej Stateczny,et al. Universal Autonomous Control and Management System for Multipurpose Unmanned Surface Vessel , 2019, Polish Maritime Research.
[31] Bincai Cao,et al. Shallow water bathymetry from WorldView-2 stereo imagery using two-media photogrammetry , 2019, European Journal of Remote Sensing.
[32] Konstantinos G. Nikolakopoulos,et al. Synergistic Use of UAV and USV Data and Petrographic Analyses for the Investigation of Beachrock Formations: A Case Study from Syros Island, Aegean Sea, Greece , 2018, Minerals.
[33] S. Lanka,et al. Google Earth: A New Resource for Shoreline Change Estimation—Case Study from Jaffna Peninsula, Sri Lanka , 2018, Marine Geodesy.
[34] Dong Wang,et al. A novel ocean bathymetry technology based on an unmanned surface vehicle , 2018, Acta Oceanologica Sinica.
[35] Filippo Bandini,et al. Technical note: Bathymetry observations of inland water bodies using a tethered single-beam sonar controlled by an unmanned aerial vehicle , 2018, Hydrology and Earth System Sciences.
[36] Marcin Kulawiak,et al. Application of Web-GIS and Geovisual Analytics to Monitoring of Seabed Evolution in South Baltic Sea Coastal Areas , 2018, Marine Geodesy.
[37] Sheng Xu,et al. A Minimum-Cost Path Model to the Bridge Extraction from Airborne LiDAR Point Clouds , 2018, Journal of the Indian Society of Remote Sensing.
[38] Andrzej Stateczny,et al. Hydrodron — New Step for Professional Hydrography for Restricted Waters , 2018, 2018 Baltic Geodetic Congress (BGC Geomatics).
[39] Oguz Gungor,et al. Comparison of the performances of ground filtering algorithms and DTM generation from a UAV-based point cloud , 2018 .
[40] Filippo Bandini,et al. Unmanned aerial vehicle observations of water surface elevation and bathymetry in the cenotes and lagoons of the Yucatan Peninsula, Mexico , 2018, Hydrogeology Journal.
[41] John Papadakis,et al. Structure-From-Motion and RGBD Depth Fusion , 2018, SoutheastCon 2018.
[42] J. List,et al. Comparing methods used by the U.S. Geological Survey Coastal and Marine Geology Program for deriving shoreline position from lidar data , 2018 .
[43] Jie Zhang,et al. Derivation of Bathymetry from High-resolution Optical Satellite Imagery and USV Sounding Data , 2017 .
[44] L. Wallace,et al. Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds , 2016 .
[45] Francesco Giordano,et al. Integrating Sensors into a Marine Drone for Bathymetric 3D Surveys in Shallow Waters , 2015, Sensors.
[46] A. Makar. The sea bottom surface described by Coons pieces , 2016 .
[47] J. Revuelto,et al. The application of terrestrial laser scanner and SfM photogrammetry in measuring erosion and deposition processes in two opposite slopes in a humid badlands area (central Spanish Pyrenees) , 2015 .
[48] Nicolas David,et al. Large-scale classification of water areas using airborne topographic lidar data , 2013 .
[49] Dong Jian,et al. A Quantitative Method to Control and Adjust the Accuracy of Adaptive Grid Depth Modeling , 2013 .
[50] Nathaniel G. Plant,et al. cBathy: A robust algorithm for estimating nearshore bathymetry , 2013 .
[51] Mohammad A. Karim,et al. A new morphology algorithm for shoreline extraction from DEM data , 2013, Defense, Security, and Sensing.
[52] Chia-Hua Ho,et al. Large-scale linear support vector regression , 2012, J. Mach. Learn. Res..
[53] Radu Bogdan Rusu,et al. 3D is here: Point Cloud Library (PCL) , 2011, 2011 IEEE International Conference on Robotics and Automation.
[54] Qiusheng Wu,et al. Algorithmic Foundation and Software Tools for Extracting Shoreline Features from Remote Sensing Imagery and LiDAR Data , 2011, J. Geogr. Inf. Syst..
[55] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[56] A. Makar,et al. Methods to generate Numerical Models of Terrain for spatial ENC presentation , 2011 .
[57] Radu Bogdan Rusu,et al. Semantic 3D Object Maps for Everyday Manipulation in Human Living Environments , 2010, KI - Künstliche Intelligenz.
[58] Rongxing Li,et al. OPTIMAL PARAMETER DETERMINATION FOR MEAN-SHIFT SEGMENTATION- BASED SHORELINE EXTRACTION USING LIDAR DATA, AERIAL ORTHOPHOTOS, AND SATELLITE IMAGERY , 2010 .
[59] J. Shan,et al. SEGMENTATION OF LIDAR POINT CLOUDS FOR BUILDING EXTRACTION , 2009 .
[60] Rongxing Li,et al. SHORELINE EXTRACTION FROM THE INTEGRATION OF LIDAR POINT CLOUD DATA AND AERIAL ORTHOPHOTOS USING MEAN SHIFT SEGMENTATION , 2009 .
[61] Dawn J. Wright,et al. Derivation and Integration of Shallow-Water Bathymetry: Implications for Coastal Terrain Modeling and Subsequent Analyses , 2008 .
[62] Hongxing Liu,et al. Automated Extraction of Shorelines from Airborne Light Detection and Ranging Data and Accuracy Assessment Based on Monte Carlo Simulation , 2007 .
[63] Chih-Jen Lin,et al. Trust region Newton methods for large-scale logistic regression , 2007, ICML '07.
[64] D. Basak,et al. Support Vector Regression , 2008 .
[65] Kaichang Di,et al. AUTOMATIC SHORELINE EXTRACTION FROM HIGH-RESOLUTION IKONOS SATELLITE IMAGERY , 2003 .
[66] R. Holman,et al. Estimation of Shoreline Position and Change using Airborne Topographic Lidar Data , 2002 .
[67] Dean B. Gesch,et al. Development of a seamless multisource topographic/bathymetric elevation model of Tampa Bay , 2001 .
[68] Andreas Niedermeier,et al. Detection of coastlines in SAR images using wavelet methods , 2000, IEEE Trans. Geosci. Remote. Sens..
[69] E. Grafarend. The Optimal Universal Transverse Mercator Projection , 1995 .
[70] James O. Berger,et al. Ockham's Razor and Bayesian Analysis , 1992 .
[71] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.