Benchmarking High Density Image Matching for Oblique Airborne Imagery

Cavegn, Stefan; Haala, Norbert; Nebiker, Stephan; Rothermel, Mathias; Tutzauer, Patrick

doi:10.5194/isprsarchives-xl-3-45-2014

Cited by 59 publications

(50 citation statements)

References 18 publications

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“…The imagery of the four oblique views mounted at a tilt angle of 35° has a GSD of 6-13cm. Cavegn et al (2014) present the test scenario and give preliminary results for this data set. Our paper discusses the evaluation of the second oblique data set collected for a part of the city of Dortmund.…”

Section: Benchmark Data From Oblique Aerial Imagerymentioning

confidence: 99%

“…For this purpose, multi-resolution triangulations have been available in computer graphics for decades (Lindstrom et al, 1996). Since computational complexity of both, visualization and texture mapping directly depend on the number of triangles, it is desirable to construct meshes which solely consider elevation data contributing to the actual geometry and neglect data possessing elevation variances close to the noise level (Rothermel et al, 2014). While the top of Figure 2 depicts the wireframe of the model to visualize the structure of the generated meshes, the bottom image shows the respective triangles filled with their corresponding texture as provided from the aerial images.…”

Section: Dsm From Airborne Nadir Imagerymentioning

confidence: 99%

“…Figure 7. Exemplary point cloud generated with software SURE For evaluation of the DIM point clouds provided by the participants, the approach already described in Cavegn et al (2014) was used. In a first step, a simple surface representation is generated from the reference measures by TLS for patches at building facades.…”

Section: Evaluation Proceduresmentioning

confidence: 99%

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High Density Aerial Image Matching: State-of-the-Art and Future Prospects

Haala¹,

Cavegn²

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Ongoing innovations in matching algorithms are continuously improving the quality of geometric surface representations generated automatically from aerial images. This development motivated the launch of the joint ISPRS/EuroSDR project "Benchmark on High Density Aerial Image Matching", which aims on the evaluation of photogrammetric 3D data capture in view of the current developments in dense multi-view stereo-image matching. Originally, the test aimed on image based DSM computation from conventional aerial image flights for different landuse and image block configurations. The second phase then put an additional focus on high quality, high resolution 3D geometric data capture in complex urban areas. This includes both the extension of the test scenario to oblique aerial image flights as well as the generation of filtered point clouds as additional output of the respective multiview reconstruction. The paper uses the preliminary outcomes of the benchmark to demonstrate the state-of-the-art in airborne image matching with a special focus of high quality geometric data capture in urban scenarios.

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Section: Benchmark Data From Oblique Aerial Imagerymentioning

confidence: 99%

Section: Dsm From Airborne Nadir Imagerymentioning

confidence: 99%

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High Density Aerial Image Matching: State-of-the-Art and Future Prospects

Haala¹,

Cavegn²

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…While the current focus and use is predominantly street level and indoor modeling, the model would also be applicable to nadir and oblique aerial imagery [26,27].…”

Section: Conceptmentioning

confidence: 99%

Cloud-Based Geospatial 3D Image Spaces—A Powerful Urban Model for the Smart City

Nebiker

Cavegn

Loesch

2015

IJGI

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Abstract:In this paper, we introduce the concept and an implementation of geospatial 3D image spaces as new type of native urban models. 3D image spaces are based on collections of georeferenced RGB-D imagery. This imagery is typically acquired using multi-view stereo mobile mapping systems capturing dense sequences of street level imagery. Ideally, image depth information is derived using dense image matching. This delivers a very dense depth representation and ensures the spatial and temporal coherence of radiometric and depth data. This results in a high-definition WYSIWYG ("what you see is what you get") urban model, which is intuitive to interpret and easy to interact with, and which provides powerful augmentation and 3D measuring capabilities. Furthermore, we present a scalable cloud-based framework for generating 3D image spaces of entire cities or states and a client architecture for their web-based exploitation. The model and the framework strongly support the smart city notion of efficiently connecting the urban environment and its processes with experts and citizens alike. In the paper we particularly investigate quality aspects of the urban model, namely the obtainable georeferencing accuracy and the quality of the depth map extraction. We show that our image-based georeferencing approach is capable of improving the original direct georeferencing accuracy by an order of magnitude and that the presented new multi-image matching approach is capable of providing high accuracies along with a significantly improved completeness of the depth maps.

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“…So far, however, the accuracies obtained from the matching of oblique images do not equal those that can be achieved with the use of nadir images. We can hope that the ongoing Benchmark EuroSDR/ISPRS, the objectives of which are described in Cavegn et al (2014), will provide a complete review of dense image matching in the context of oblique images.…”

Section: Dense Image Matchingmentioning

confidence: 99%

Accuracy of Measurements in Oblique Aerial Images for Urban Environment

Ostrowski

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Oblique aerial images have been a source of data for urban areas for several years. However, the accuracy of measurements in oblique images during this time has been limited to a single meter due to the use of direct -georeferencing technology and the underlying digital elevation model. Therefore, oblique images have been used mostly for visualization purposes. This situation changed in recent years as new methods, which allowed for a higher accuracy of exterior orientation, were developed. Current developments include the process of determining exterior orientation and the previous but still crucial process of tie point extraction. Progress in this area was shown in the ISPRS/EUROSDR Benchmark on Multi-Platform Photogrammetry and is also noticeable in the growing interest in the use of this kind of imagery. The higher level of accuracy in the orientation of oblique aerial images that has become possible in the last few years should result in a higher level of accuracy in the measurements of these types of images.The main goal of this research was to set and empirically verify the accuracy of measurements in oblique aerial images. The research focused on photogrammetric measurements composed of many images, which use a high overlap within an oblique dataset and different view angles. During the experiments, two series of images of urban areas were used. Both were captured using five DigiCam cameras in a Maltese cross configuration. The tilt angles of the oblique cameras were 45 degrees, and the position of the cameras during flight used a high grade GPS/INS navigation system. The orientation of the images was set using the Pix4D Mapper Pro software with both measurements of the in-flight camera position and the ground control points (measured with GPS RTK technology). To control the accuracy, check points were used (which were also measured with GPS RTK technology).As reference data for the whole study, an area of the city-based map was used. The archived results were referred to image orientation accuracy and to the ground sampling distance of the used images. The results show that the recent development of image orientation methods for oblique aerial images allow these images to be used for high quality photogrammetric measurements.

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Benchmarking High Density Image Matching for Oblique Airborne Imagery

Cited by 59 publications

References 18 publications

High Density Aerial Image Matching: State-of-the-Art and Future Prospects

High Density Aerial Image Matching: State-of-the-Art and Future Prospects

Cloud-Based Geospatial 3D Image Spaces—A Powerful Urban Model for the Smart City

Accuracy of Measurements in Oblique Aerial Images for Urban Environment

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