NDLI: Building Height Estimation in Urban Areas from Very High Resolution Satellite Stereo Images

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Building Height Estimation in Urban Areas from Very High Resolution Satellite Stereo Images

Content Provider	Semantic Scholar
Author	Alobeid, Abdalla Jacobsen, Karsten Heipke, Christian
Copyright Year	2009
Abstract	The extraction of the third dimension from stereoscopic image pairs is a well known technique. Since in a number of countries aerial images and laser scanner data are unavailable, expensive or classified, high resolution optical satellite images provide a viable alternative to generate digital surface and digital terrain models. Especially the automatic extraction of highly accurate 3D surface models in urban areas is still a very complicated task due to occlusions, large differences in height and the variety of objects and surface types. In this paper we present an analysis and a comparison of three different matching methods for generating urban DSMs based on very high resolution satellite images: least squares matching (LSM; Förstner 1982) in a region growing fashion, dynamic programming (DP) according to Birchfield, Tomasi (1999), and semiglobal matching (SGM; Hirschmüller, 2008). We empirically study the effects of the three methods as applied to three different IKONOS stereo pairs with a ground sampling distance of 1.0m. It comes as no surprise and can be clearly seen in our results that in the LSM result the shape of the buildings is considerably smoothed. While in the DP results the building shape is sharper, only little detail is visible on the roof. With SGM more details are visible, but the result seems to contain some artefacts. As far as geometric accuracy is concerned we found based on independent manual checks, that for all three methods the height accuracy is in the range of the ground resolution of 1.0m, corresponding to 0.6 pixels x-parallax given a h/b ratio of 1.7. This value includes not only the matching accuracy, but also the accuracy of manual measurement. Thus, the accuracy of the automatic matching is better than 1.0m in height.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.isprs.org/proceedings/XXXVIII/1_4_7-W5/paper/Alobeid-139.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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