Dense Image Matching vs. Airborne Laser Scanning – Comparison of two methods for deriving terrain models

2016 ◽  
Vol 2016 (2) ◽  
pp. 57-73 ◽  
Author(s):  
Camillo Ressl ◽  
Herbert Brockmann ◽  
Gottfried Mandlburger ◽  
Norbert Pfeifer
Keyword(s):  
Image Matching ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Terrain Models ◽  
Airborne Laser ◽  
Dense Image

Testing the quality of forest variable estimation using dense image matching: a comparison with airborne laser scanning in a Mediterranean pine forest

2018 ◽  
Vol 39 (14) ◽  
pp. 4744-4760 ◽  
Author(s):  
José Antonio Navarro ◽  
Alfredo Fernández-Landa ◽  
José Luis Tomé ◽  
María Luz Guillén-Climent ◽  
Juan Carlos Ojeda
Keyword(s):  
Image Matching ◽  
Laser Scanning ◽  
Pine Forest ◽  
Airborne Laser Scanning ◽  
Airborne Laser ◽  
Dense Image ◽  
Mediterranean Pine

scholarly journals Building Change Detection of Airborne Laser Scanning and Dense Image Matching Point Clouds using Height and Class Information

2021 ◽  
Vol 2 ◽  
pp. 1-14
Author(s):  
Florian Politz ◽  
Monika Sester ◽  
Claus Brenner
Keyword(s):  
Change Detection ◽  
Spatial Data ◽  
Image Matching ◽  
Point Cloud ◽  
Laser Scanning ◽  
Point Clouds ◽  
Airborne Laser Scanning ◽  
Height Distribution ◽  
Airborne Laser ◽  
Dense Image

Abstract. Detecting changes is an important task to update databases and find irregularities in spatial data. Every couple of years, national mapping agencies (NMAs) acquire nation-wide point cloud data from Airborne Laser Scanning (ALS) as well as from Dense Image Matching (DIM) using aerial images. Besides deriving several other products such as Digital Elevation Models (DEMs) from them, those point clouds also offer the chance to detect changes between two points in time on a large scale. Buildings are an important object class in the context of change detection to update cadastre data. As detecting changes manually is very time consuming, the aim of this study is to provide reliable change detections for different building sizes in order to support NMAs in their task to update their databases. As datasets of different times may have varying point densities due to technological advancements or different sensors, we propose a raster-based approach, which is independent of the point density altogether. Within a raster cell, our approach considers the height distribution of all points for two points in time by exploiting the Jensen-Shannon distance to measure their similarity. Our proposed method outperforms simple threshold methods on detecting building changes with respect to the same or different point cloud types. In combination with our proposed class change detection approach, we achieve a change detection performance measured by the mean F1-Score of about 71% between two ALS and about 60% between ALS and DIM point clouds acquired at different times.

Application of the Msplit method for filtering airborne laser scanning data-sets to estimate digital terrain models

2015 ◽  
Vol 36 (9) ◽  
pp. 2421-2437 ◽  
Author(s):  
Wioleta Błaszczak-Bąk ◽  
Artur Janowski ◽  
Waldemar Kamiński ◽  
Jacek Rapiński
Keyword(s):  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Data Sets ◽  
Digital Terrain Models ◽  
Digital Terrain ◽  
Terrain Models ◽  
Airborne Laser

scholarly journals Airborne laser scanning and usefulness for hydrological models

2005 ◽  
Vol 5 ◽  
pp. 57-63 ◽  
Author(s):  
M. Hollaus ◽  
W. Wagner ◽  
K. Kraus
Keyword(s):  
Laser Scanning ◽  
Laser Scanner ◽  
Airborne Laser Scanning ◽  
Scanner Data ◽  
Digital Terrain Models ◽  
Mountainous Regions ◽  
Digital Terrain ◽  
Terrain Models ◽  
Airborne Laser ◽  
Land Cover Maps

Abstract. Digital terrain models form the basis for distributed hydrologic models as well as for two-dimensional hydraulic river flood models. The technique used for generating high accuracy digital terrain models has shifted from stereoscopic aerial-photography to airborne laser scanning during the last years. Since the disastrous floods 2002 in Austria, large airborne laser-scanning flight campaigns have been carried out for several river basins. Additionally to the topographic information, laser scanner data offer also the possibility to estimate object heights (vegetation, buildings). Detailed land cover maps can be derived in conjunction with the complementary information provided by high-resolution colour-infrared orthophotos. As already shown in several studies, the potential of airborne laser scanning to provide data for hydrologic/hydraulic applications is high. These studies were mostly constraint to small test sites. To overcome this spatial limitation, the current paper summarises the experiences to process airborne laser scanner data for large mountainous regions, thereby demonstrating the applicability of this technique in real-world hydrological applications.

Interpreting cultural remains in airborne laser scanning generated digital terrain models: effects of size and shape on detection success rates

2013 ◽  
Vol 40 (12) ◽  
pp. 4688-4700 ◽  
Author(s):  
Ole Risbøl ◽  
Ole Martin Bollandsås ◽  
Anneli Nesbakken ◽  
Hans Ole Ørka ◽  
Erik Næsset ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Success Rates ◽  
Digital Terrain Models ◽  
Size And Shape ◽  
Digital Terrain ◽  
Terrain Models ◽  
Airborne Laser
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