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Khoshelham, K. (author), Nardinocchi, C. (author)This paper presents a learning Dempster-Shafer model for the detection of buildings in aerial image and range data. The process of evidence assignment in the Dempster-Shafer method is implemented through membership functions in an adaptive network-based fuzzy inference system, where a back propagation learning rule is employed to tune the...conference paper 2009
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Khoshelham, K. (author), Nardinocchi, C. (author), Frontoni, C. (author), Mancini, A. (author), Zingaretti, P. (author)Automated approaches to building detection in multi-source aerial data are important in many applications, including map updating, city modeling, urban growth analysis and monitoring of informal settlements. This paper presents a comparative analysis of different methods for automated building detection in aerial images and laser data at...journal article 2009
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Frontoni, E. (author), Khoshelham, K. (author), Nardinocchi, C. (author), Nedkov, S. (author), Zingaretti, P. (author)Automatic building detection has been a hot topic since the early 1990’s. Early approaches were based on a single aerial image. Detecting buildings is a difficult task so it can be more effective when multiple sources of information are obtained and fused. The objective of this paper is to provide a comparative analysis of automatic approaches...conference paper 2008
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Khoshelham, K. (author), Nedkov, S. (author), Nardinocchi, C. (author)Automated approaches to building detection are of great importance in a number of different applications including map updating and monitoring of informal settlements. With the availability of multi-source aerial data in recent years, data fusion approaches to automated building detection have become more popular. In this paper, two data fusion...conference paper 2008