Abstract

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.

Highlights

  • Since the first major projects in this field were completed (Karbo and Simmons, 2007), oblique aerial images have been perceived mostly as a source of data for urban areas

  • 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

  • The research presented by Vetrivel et al (2016) is based on detecting changes; multi-temporal oblique imagery datasets were used to detect damage caused by earthquakes in a city

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Summary

Introduction

Since the first major projects in this field were completed (Karbo and Simmons, 2007), oblique aerial images have been perceived mostly as a source of data for urban areas. Thanks to the use of multiple viewing angles, they give better insight into the urban environment than classical nadir images, which represent an important aspect of the use of oblique photos. For this reason, oblique imagery in recent years has focused mainly on cities and buildings directly. Nyaruhuma et al (2010) proposed an automated method of verifying the vector dataset of building footprints. They implemented a facades raster matching algorithm that allows for the detection of the demolition site of a building. The research presented by Vetrivel et al (2016) is based on detecting changes; multi-temporal oblique imagery datasets were used to detect damage caused by earthquakes in a city

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