Adaptation of building extraction rule sets derived from MFC3 and UltraCamD arial image data sets

A. M. Trosset; T. Bucher; F. Lehmann

doi:10.1117/12.830662

7 October 2009 Adaptation of building extraction rule sets derived from MFC3 and UltraCamD aerial image data sets

A. M. Trosset, T. Bucher, F. Lehmann

Proceedings Volume 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX; 74782U (2009) https://doi.org/10.1117/12.830662
Event: SPIE Remote Sensing, 2009, Berlin, Germany

Abstract

In the context of rapid expansion of many cities to enormous agglomerations with high population density and a worldwide urbanization process serious impacts on environment in urban areas evolve. There is a high demand for the development and application of efficient methods to analyze and monitor changes in urban areas, to support the planning decisions in these regions and for security and risk assessment. Efficient, accurate and reliable extraction of buildings and roof surfaces and their inventory in geographic information systems plays a major role in this context. Previous analyses of digital airborne data sets show up that the inventory mapping and assessment of building changes is only possible on the basis of multi-temporal data sets and digital surface models with high resolution. These analyses confirm explicitly that both high heterogeneity and diversification of urban regions as well as the availability of data sets from different camera systems increase the need for automated and transferable extraction methods. In this context two data sets from different high resolution sensors are used for the development of transferable extraction rule sets within the object-based classification method in Definiens Developer. The Multifunctional Camera (MFC3) and the UltraCamD (UCD) data sets not only have diverse geometric but also different radiometric characteristics. As a study area the centre of Berlin, Germany was selected. Two approaches to generate comparable results from different data sources are tested. The first step deals with the generation of statistical parameters and the normalization of the two data sets. The second step addresses the development and adaptation of the rule set for a robust and universal segmentation and classification process.

Citation Download Citation

A. M. Trosset, T. Bucher, and F. Lehmann "Adaptation of building extraction rule sets derived from MFC3 and UltraCamD aerial image data sets", Proc. SPIE 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX, 74782U (7 October 2009); https://doi.org/10.1117/12.830662

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