The demand for 3D city-scale models has been significantly increased due to the proliferation of urban planning, city navigation, and virtual reality applications. We present an approach to automatically reconstruct buildings densely spanning a large urban area. Our method takes as input calibrated aerial images and available GIS meta-data. Our computational pipeline computes a per-building 2.5...

This paper describes an automatic change detection of roads using aerial photos and digital maps. The task is based on the idea that one can derive information about the changes strictly from its imagery once the geometric relationship among data sets is correctly recovered. The goal of research is achieved by using the Modified Iterated Hough Transform (MIHT) algorithm, the result of which not...

Forest boundary is one of the important parameters in Swiss National Forest Inventory (NFI). It is mainly delineated by aerial photo interpretation according to the defined “Forest/Non-forest decision” rules at each sample plot. However, it is not suitable for local assessment of forest stands with such kind of coarse grid sampling design. This paper presents an approach intending to delineate ...

Large size digital aerial frame cameras like Intergraph DMC and Vexcel UltraCam are becoming standard for photogrammetric application. It is difficult to compare the information contents of such cameras with this of analogue photographic cameras. Also the rules for project planning have to be checked if the old relation between photo scale and map scale is still valid. The photo scale has no lo...

The generation of photo-realistic city model is an important task for many geospatial applications, such as 3D GIS, urban planning, virtual city tourism, car navigation, real estate, etc. The purpose of this research is to automatically generate façade texture from aerial oblique imagery. The developed algorithm can be applied to any oblique imagery taken from the air, such as UAV, airplane, or...

Remote Sensing is trending towards the use of greater detail of its source data, advancing from ever better resolving satellite imagery via decimeter-type aerial photography towards centimeter-level street-side data. It also is taking advantage of an increase in methodological sophistication, greatly supported by rapid progress of the available computing environment. The location awareness of t...

Magnusson, M. 2006. Evaluation of remote sensing techniques for estimation of forest variables at stand level. Doctor's dissertation. There is a continuous need for accurate forest description. Forest data at stand level is required in forestry planning, in particular when scheduling treatments within the next few years. Collection of forest data is typically acquired with subjective surveying ...

Understanding fire is essential to improving forest management strategies. More specifically, an accurate knowledge of the spatial distribution of fuels is critical when analyzing, modelling and predicting fire behaviour. First, we review the main concepts and terminology associated with forest fuels and a number of fuel type classifications. Second, we summarize the main techniques employed to...

Unmanned aerial vehicles now make it possible to obtain high quality aerial imagery at a low cost, but processing those images into a single, useful entity is neither simple nor seamless. Specifically, there are factors that must be addressed when merging multiple images into a single coherent one. While ortho-rectification can be done, it tends to be expensive and time consuming. Image stitchi...