Structure from motion photogrammetric technique
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[1] Hans-Gerd Maas,et al. The determination of high-resolution spatio-temporal glacier motion fields from time-lapse sequences , 2017 .
[2] Vincent Raoult,et al. GoPros™ as an underwater photogrammetry tool for citizen science , 2016, PeerJ.
[3] M. Pierrot Deseilligny,et al. APERO, AN OPEN SOURCE BUNDLE ADJUSMENT SOFTWARE FOR AUTOMATIC CALIBRATION AND ORIENTATION OF SET OF IMAGES , 2012 .
[4] O. Hungr,et al. Case study: Oso, Washington, landslide of march 22, 2014-material properties and failure mechanism , 2017 .
[5] Robbie Austrums,et al. Subaerial gravel size measurement using topographic data derived from a UAV‐SfM approach , 2017 .
[6] S. Robson,et al. 3‐D uncertainty‐based topographic change detection with structure‐from‐motion photogrammetry: precision maps for ground control and directly georeferenced surveys , 2017 .
[7] A. Brenning,et al. Modeling the precision of structure-from-motion multi-view stereo digital elevation models from repeated close-range aerial surveys , 2018, Remote Sensing of Environment.
[8] Brice R. Rea,et al. Using UAV acquired photography and structure from motion techniques for studying glacier landforms: application to the glacial flutes at Isfallsglaciären , 2017 .
[9] J. Warburton,et al. Microtopography of bare peat: a conceptual model and objective classification from high‐resolution topographic survey data , 2018 .
[10] Richard Szeliski,et al. Modeling the World from Internet Photo Collections , 2008, International Journal of Computer Vision.
[11] Christopher A. Gomez. Digital photogrammetry and GIS-based analysis of the bio-geomorphological evolution of Sakurajima Volcano, diachronic analysis from 1947 to 2006 , 2014 .
[12] J. Ryan,et al. UAV photogrammetry and structure from motion to assess calving dynamics at Store Glacier, a large outlet draining the Greenland ice sheet , 2015 .
[13] Jan Skaloud,et al. A micro-UAV with the capability of direct georeferencing , 2013 .
[14] Birgit Kirsch,et al. E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time , 2017, Sensors.
[15] J. A. Gomez,et al. SF3M software: 3-D photo-reconstruction for non-expert users and its application to a gully network , 2015 .
[16] Miao Yu,et al. Modeling of landslide topography based on micro-unmanned aerial vehicle photography and structure-from-motion , 2017, Environmental Earth Sciences.
[17] H. Eisenbeiss,et al. DIRECT GEOREFERENCING OF UAVS , 2012 .
[18] L. Nicholson,et al. Using structure‐from‐motion to create glacier DEMs and orthoimagery from historical terrestrial and oblique aerial imagery , 2017 .
[19] Anette Eltner,et al. Time lapse structure‐from‐motion photogrammetry for continuous geomorphic monitoring , 2017 .
[20] M. Lo Brutto,et al. Computer Vision Tools for 3D Modelling in Archaeology , 2012 .
[21] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[22] C. Hugenholtz,et al. Spatial Accuracy of UAV-Derived Orthoimagery and Topography: Comparing Photogrammetric Models Processed with Direct Geo-Referencing and Ground Control Points , 2016 .
[23] Tommy A. Noble,et al. Guidelines on the use of structure‐from‐motion photogrammetry in geomorphic research , 2019, Earth Surface Processes and Landforms.
[24] Maarten Bakker,et al. Archival photogrammetric analysis of river–floodplain systems using Structure from Motion (SfM) methods , 2017 .
[25] T. Quine,et al. Testing the utility of structure‐from‐motion photogrammetry reconstructions using small unmanned aerial vehicles and ground photography to estimate the extent of upland soil erosion , 2017 .
[26] D Marr,et al. Cooperative computation of stereo disparity. , 1976, Science.
[27] Andreas Kääb,et al. Terrain changes from images acquired on opportunistic flights by SfM photogrammetry , 2016 .
[28] Steven M. De Jong,et al. Monitoring river morphology & bank erosion using UAV imagery - A case study of the river Buëch, Hautes-Alpes, France , 2018, Int. J. Appl. Earth Obs. Geoinformation.
[29] Dirk Rieke-Zapp,et al. Assessment of Erosion, Deposition and Rill Development On Irregular Soil Surfaces Using Close Range Digital Photogrammetry , 2010 .
[30] J. Brasington,et al. Modeling the topography of shallow braided rivers using Structure-from-Motion photogrammetry , 2014 .
[31] M. James,et al. Pointcatcher software: analysis of glacial time-lapse photography and integration with multitemporal digital elevation models , 2016, Journal of Glaciology.
[32] J. Brasington,et al. Accounting for uncertainty in DEMs from repeat topographic surveys: improved sediment budgets , 2009 .
[33] Natan Micheletti,et al. Investigating the geomorphological potential of freely available and accessible structure‐from‐motion photogrammetry using a smartphone , 2015 .
[34] K. Cook. An evaluation of the effectiveness of low-cost UAVs and structure from motion for geomorphic change detection , 2017 .
[35] J. Lutes,et al. DIRECT GEOREFERENCING ON SMALL UNMANNED AERIAL PLATFORMS FOR IMPROVED RELIABILITY AND ACCURACY OF MAPPING WITHOUT THE NEED FOR GROUND CONTROL POINTS , 2015 .
[36] Anders la Cour-Harbo,et al. Calibration and accuracy assessment in a direct georeferencing system for UAS photogrammetry , 2018 .
[37] Toby N. Tonkin,et al. Ice-cored moraine degradation mapped and quantified using an unmanned aerial vehicle: A case study from a polythermal glacier in Svalbard , 2016 .
[38] Mike J. Smith,et al. Cameras and settings for aerial surveys in the geosciences , 2017 .
[39] L. Klingbeil,et al. DEVELOPMENT AND EVALUATION OF A UAV BASED MAPPING SYSTEM FOR REMOTE SENSING AND SURVEYING APPLICATIONS , 2015 .
[40] K. Mair,et al. Application of open‐source photogrammetric software MicMac for monitoring surface deformation in laboratory models , 2016 .
[41] Gianfranco Forlani,et al. Quality Assessment of DSMs Produced from UAV Flights Georeferenced with On-Board RTK Positioning , 2018, Remote. Sens..
[42] D. Green,et al. Application of Structure‐from‐Motion photogrammetry to river restoration , 2017 .
[43] N. Pfeifer,et al. DIRECT GEOREFERENCING WITH ON BOARD NAVIGATION COMPONENTS OF LIGHT WEIGHT UAV PLATFORMS , 2012 .
[45] Mark W. Smith,et al. From experimental plots to experimental landscapes: topography, erosion and deposition in sub‐humid badlands from Structure‐from‐Motion photogrammetry , 2015 .
[46] Riccardo Salvini,et al. Application of UAV photogrammetry for the multi-temporal estimation of surface extent and volumetric excavation in the Sa Pigada Bianca open-pit mine, Sardinia, Italy , 2017, Environmental Earth Sciences.
[47] J. Dietrich. Bathymetric Structure‐from‐Motion: extracting shallow stream bathymetry from multi‐view stereo photogrammetry , 2017 .
[48] G. Sofia. Combining geomorphometry, feature extraction techniques and Earth-surface processes research: The way forward , 2020 .
[49] H. Maas,et al. Soil micro-topography change detection at hillslopes in fragile Mediterranean landscapes , 2018 .
[50] S. Robson,et al. Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application , 2012 .
[51] Arko Lucieer,et al. Direct Georeferencing of Ultrahigh-Resolution UAV Imagery , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[52] Koichi Yamamoto,et al. Removal of water‐surface reflection effects with a temporal minimum filter for UAV‐based shallow‐water photogrammetry , 2018 .
[53] R. E. Thomas,et al. Quantification of braided river channel change using archival digital image analysis , 2010 .
[54] C. Mulsow,et al. SUBAQUATIC DIGITAL ELEVATION MODELS FROM UAV-IMAGERY , 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
[55] J. Warrick,et al. New Techniques to Measure Cliff Change from Historical Oblique Aerial Photographs and Structure-from-Motion Photogrammetry , 2016, Journal of Coastal Research.
[56] Adam Mosbrucker,et al. Camera system considerations for geomorphic applications of SfM photogrammetry , 2017 .
[57] Fabrice Vinatier,et al. Joining multi-epoch archival aerial images in a single SfM block allows 3-D change detection with almost exclusively image information , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.
[58] Brian M. Anderson,et al. Using structure from motion photogrammetry to measure past glacier changes from historic aerial photographs , 2017, Journal of Glaciology.
[59] P. Tarolli,et al. High-resolution morphologic characterization of conservation agriculture , 2019, CATENA.
[60] Mark W. Smith,et al. Structure from Motion in the Geosciences , 2016 .
[61] Martina Slámová,et al. The application of civic technologies in a field survey of landslides , 2018 .
[62] N. Haala,et al. DIRECT GEOREFERENCING USING GPS/INERTIAL EXTERIOR ORIENTATIONS FOR PHOTOGRAMMETRIC APPLICATIONS , 2000 .
[63] M. Westoby,et al. ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications , 2012 .
[64] Christian Haas,et al. Brief Communication: Mapping river ice using drones and structure from motion , 2017 .
[65] Michel Jaboyedoff,et al. Detection of millimetric deformation using a terrestrial laser scanner: experiment and application to a rockfall event , 2009 .
[66] Michael Goesele,et al. Scene Reconstruction and Visualization From Community Photo Collections , 2010, Proceedings of the IEEE.
[67] M. Jaboyedoff,et al. Using street view imagery for 3-D survey of rock slope failures , 2017 .
[68] Neil Entwistle,et al. Recent remote sensing applications for hydro and morphodynamic monitoring and modelling , 2018 .
[69] Fabio Menna,et al. A CRITICAL REVIEW OF AUTOMATED PHOTOGRAMMETRICPROCESSING OF LARGE DATASETS , 2017 .
[70] Jan-Michael Frahm,et al. Structure-from-Motion Revisited , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[71] P. Nelson,et al. Application of Structure-from-Motion photogrammetry in laboratory flumes , 2017 .
[72] Paolo Cignoni,et al. MeshLab: an Open-Source Mesh Processing Tool , 2008, Eurographics Italian Chapter Conference.
[73] Christopher Sevara,et al. Capturing the Past for the Future: an Evaluation of the Effect of Geometric Scan Deformities on the Performance of Aerial Archival Media in Image‐based Modelling Environments , 2016 .
[74] Patrice E. Carbonneau,et al. Cost‐effective non‐metric photogrammetry from consumer‐grade sUAS: implications for direct georeferencing of structure from motion photogrammetry , 2017 .
[75] Kai-Wei Chiang,et al. The Development of an UAV Borne Direct Georeferenced Photogrammetric Platform for Ground Control Point Free Applications , 2012, Sensors.
[76] Yazid Ninsalam,et al. Towards high resolution and cost-effective terrain mapping for urban hydrodynamic modelling in densely settled river-corridors , 2016 .
[77] H. Maas,et al. WATCHING GRASS GROW- A PILOT STUDY ON THE SUITABILITY OF PHOTOGRAMMETRIC TECHNIQUES FOR QUANTIFYING CHANGE IN ABOVEGROUND BIOMASS IN GRASSLAND EXPERIMENTS , 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
[78] K. McGwire,et al. Assessing the performance of structure‐from‐motion photogrammetry and terrestrial LiDAR for reconstructing soil surface microtopography of naturally vegetated plots , 2016 .
[79] O. Hungr,et al. Oso, Washington, Landslide of March 22, 2014: Dynamic Analysis , 2017 .
[80] Claudio Delrieux,et al. Structure-from-Motion Approach for Characterization of Bioerosion Patterns Using UAV Imagery , 2015, Sensors.
[81] Toby N. Tonkin,et al. Ground-Control Networks for Image Based Surface Reconstruction: An Investigation of Optimum Survey Designs Using UAV Derived Imagery and Structure-from-Motion Photogrammetry , 2016, Remote. Sens..
[82] Robert C. Bolles,et al. Epipolar-plane image analysis: An approach to determining structure from motion , 1987, International Journal of Computer Vision.
[83] Geert Verhoeven,et al. Taking computer vision aloft – archaeological three‐dimensional reconstructions from aerial photographs with photoscan , 2011 .
[84] Marco Dubbini,et al. Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments , 2013, Remote. Sens..
[85] Toby N. Tonkin,et al. Reconstruction of former glacier surface topography from archive oblique aerial images , 2017 .
[86] Mark W. Smith,et al. An integrated Structure-from-Motion and time-lapse technique for quantifying ice-margin dynamics , 2017, Journal of Glaciology.
[87] F. Visser,et al. Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry , 2015 .
[88] Camillo Ressl,et al. Undistorting the past: new techniques for orthorectification of archaeological aerial frame imagery , 2013 .
[89] Gianfranco Forlani,et al. Testing Accuracy and Repeatability of UAV Blocks Oriented with GNSS-Supported Aerial Triangulation , 2017, Remote. Sens..
[90] Tom Edwards,et al. A 4D Filtering and Calibration Technique for Small-Scale Point Cloud Change Detection with a Terrestrial Laser Scanner , 2015, Remote. Sens..
[91] Mark W. Smith,et al. Can high resolution 3D topographic surveys provide reliable grain size estimates in gravel bed rivers , 2017 .
[92] Jon P. Mills,et al. Towards a Low-Cost Real-Time Photogrammetric Landslide Monitoring System Utilising Mobile and Cloud Computing Technology , 2016 .
[93] J. L. Lerma,et al. Estimation of small-scale soil erosion in laboratory experiments with Structure from Motion photogrammetry , 2017 .
[94] Giulia Sofia,et al. Prospects for crowdsourced information on the geomorphic ‘engineering’ by the invasive Coypu (Myocastor coypus) , 2017 .
[95] Hiroya Yamano,et al. Evaluation of DSMs generated from multi-temporal aerial photographs using emerging structure from motion–multi-view stereo technology , 2016 .
[96] Gordon Petrie,et al. Using image-based modelling (SfM–MVS) to produce a 1935 ortho-mosaic of the Ethiopian highlands , 2015, Int. J. Digit. Earth.
[97] A. Gruen. Development and Status of Image Matching in Photogrammetry , 2012 .
[98] Danilo Schneider,et al. Analysis of Different Methods for 3D Reconstruction of Natural Surfaces from Parallel‐Axes UAV Images , 2015 .
[99] Steven M. Seitz,et al. Photo tourism: exploring photo collections in 3D , 2006, ACM Trans. Graph..
[100] Jean-Stéphane Bailly,et al. Comparison of Pleiades and LiDAR Digital Elevation Models for Terraces Detection in Farmlands , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[101] Zhen Zhu,et al. Simulating and quantifying legacy topographic data uncertainty: an initial step to advancing topographic change analyses , 2016, Progress in Earth and Planetary Science.
[102] S. M. Jong,et al. Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography , 2014 .
[103] D. Lague,et al. Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z) , 2013, 1302.1183.
[104] S. Lane,et al. Estimation of erosion and deposition volumes in a large, gravel‐bed, braided river using synoptic remote sensing , 2003 .
[105] Jan Skaloud,et al. APPLICABILITY OF NEW APPROACHES OF SENSOR ORIENTATION TO MICRO AERIAL VEHICLES , 2016 .
[106] Fabio Remondino,et al. State of the art in high density image matching , 2014 .
[107] Nico Mölg,et al. Structure-from-Motion Using Historical Aerial Images to Analyse Changes in Glacier Surface Elevation , 2017, Remote. Sens..
[108] Riccardo Salvini,et al. Multitemporal monitoring of a coastal landslide through SfM‐derived point cloud comparison , 2017 .
[109] F. Nex,et al. Quality assessment of combined IMU/GNSS data for direct georeferencing in the context of UAV-based mapping , 2017 .
[110] Markus Gerke,et al. Accuracy analysis of photogrammetric UAV image blocks: influence of onboard RTK-GNSS and cross flight patterns , 2016 .
[111] Mark W. Smith,et al. Structure from motion photogrammetry in physical geography , 2016 .
[112] Itaru Kitahara,et al. Method to generate disaster-damage map using 3D photometry and crowd sourcing , 2017, 2017 IEEE International Conference on Big Data (Big Data).
[113] D. Brunstein,et al. Characterizing and quantifying the discontinuous bank erosion of a small low energy river using Structure-from-Motion Photogrammetry and erosion pins , 2018, Journal of Hydrology.
[114] S. Robson,et al. Mitigating systematic error in topographic models derived from UAV and ground‐based image networks , 2014 .
[115] Heide Friedrich,et al. Field application of close‐range digital photogrammetry (CRDP) for grain‐scale fluvial morphology studies , 2016 .
[116] D. J. Hutchinson,et al. Automated Terrestrial Laser Scanning with Near Real-Time Change Detection – Monitoring of the Séchilienne Landslide , 2017 .
[117] J. Dietrich. Riverscape mapping with helicopter-based Structure-from-Motion photogrammetry , 2016 .
[118] S. Robson,et al. Optimising UAV topographic surveys processed with structure-from-motion: Ground control quality, quantity and bundle adjustment , 2016 .
[119] S. Ullman. The Interpretation of Visual Motion , 1979 .
[120] P. Tarolli,et al. Bank erosion in agricultural drainage networks: new challenges from structure‐from‐motion photogrammetry for post‐event analysis , 2015 .
[121] H. Viles. Technology and geomorphology: Are improvements in data collection techniques transforming geomorphic science? , 2016 .
[122] A. Kaiser,et al. Addressing uncertainties in interpreting soil surface changes by multitemporal high‐resolution topography data across scales , 2018, Land Degradation & Development.
[123] Carlos Castillo,et al. Image-based surface reconstruction in geomorphometry - merits, limits and developments , 2016 .
[124] M. Goodchild,et al. Data-driven geography , 2014, GeoJournal.
[125] Richard J. Hardy,et al. Optimising 4-D surface change detection: an approach for capturing rockfall magnitude–frequency , 2018 .
[126] Thomas S. Huang,et al. Theory of Reconstruction from Image Motion , 1992 .
[127] P. Tarolli,et al. Analysis of glacial and periglacial processes using structure from motion , 2015 .
[128] Eija Honkavaara,et al. Point Cloud Generation from Aerial Image Data Acquired by a Quadrocopter Type Micro Unmanned Aerial Vehicle and a Digital Still Camera , 2012, Sensors.
[129] P. Tarolli,et al. Rainfall simulation and Structure-from-Motion photogrammetry for the analysis of soil water erosion in Mediterranean vineyards. , 2017, The Science of the total environment.
[130] John Woodward,et al. Cost-effective erosion monitoring of coastal cliffs , 2018, Coastal Engineering.
[131] Thomas P. Kersten,et al. Low-Cost and Open-Source Solutions for Automated Image Orientation - A Critical Overview , 2012, EuroMed.
[132] Marco Scaioni,et al. Combination of UAV and terrestrial photogrammetry to assess rapid glacier evolution and map glacier hazards , 2018 .
[133] Christopher A. Gomez,et al. A study of Japanese Landscapes using Structure from Motion Derived DSMs and DEMs based on Historical Aerial Photographs: New Opportunities for Vegetation Monitoring and Diachronic Geomorphology , 2015 .
[134] Edward Park,et al. Volunteered Geographic Videos in Physical Geography: Data Mining from YouTube , 2018 .
[135] H. Farid,et al. Hillslope Topography from Unconstrained Photographs , 2002 .
[136] Changchang Wu,et al. Towards Linear-Time Incremental Structure from Motion , 2013, 2013 International Conference on 3D Vision.
[137] A. Kaiser,et al. Feasibility of High-Resolution Soil Erosion Measurements by Means of Rainfall Simulations and SfM Photogrammetry , 2016 .
[138] Simon Lucey,et al. Object-Centric Photometric Bundle Adjustment with Deep Shape Prior , 2017, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).
[139] Sara Ibáñez-Asensio,et al. Quantifying small‐magnitude soil erosion: Geomorphic change detection at plot scale , 2018 .
[140] L. Ravanel,et al. Brief communication: 3-D reconstruction of a collapsed rock pillar from Web-retrieved images and terrestrial lidar data – the 2005 event of the west face of the Drus (Mont Blanc massif) , 2016 .
[141] M. James,et al. Quantifying ice cliff evolution with multi-temporal point clouds on the debris-covered Khumbu Glacier, Nepal , 2017, Journal of Glaciology.