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JGST 2017, 0 - Special Issue for Geomatics 94: 23-32 Back to browse issues page
A Fusion Approach for Building Detection from High-Resolution SAR Image in Urban Area
M. Teimouri , M. Mokhtarzade , M. J. Valadan Zouj
Abstract:   (1165 Views)

Precise and up-to-date spatial information from natural and artificial phenomena are needed for better management of urban and semi-urban areas. For this purpose, extraction of spatial information from buildings, as one of the dominant urban features, has attracted the attention of photogrammetry and remote sensing specialists. Thus achieving an appropriate algorithm for detection and extraction of buildings from aerial and satellite images is crucially important. In this paper, therefore, it has been attempted to propose a method for improving detection of buildings in TerraSAR-X images. In the proposed method, applying integration of classifiers and employing neighbourhood information of each pixel have improved the results of building detection and reduced the amount of noise. Therefore, in this method, initially extraction and selection of the optimum feature is carried out. Then, the capability of various classifiers like Neural Network, Support Vector Machine, Maximum Likelihood and Nearest Neighbour is assessed and compared. Then, for improving the results, the results are integrated in decision level using a moving window. The results of the proposed method with overall accuracy and building detection accuracy of 86.41% and 73.08%, respectively indicates the capability of this method. Also, the proposed integration method has improved the results at least by 5% compared to that of individual usage of each classifier.

Keywords: Building Detection, Fusion, SAR, Neural Network, Support Vector Machine, Nearest Neighbour, Maximum Likelihood
Full-Text [PDF 976 kb]   (604 Downloads)    
Type of Study: Research | Subject: Photo&RS
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Teimouri M, Mokhtarzade M, Valadan Zouj M J. A Fusion Approach for Building Detection from High-Resolution SAR Image in Urban Area. JGST. 2017;
URL: http://jgst.issge.ir/article-1-603-en.html


Volume 0 - Special Issue for Geomatics 94 Back to browse issues page
نشریه علمی پژوهشی علوم و فنون نقشه برداری Journal of Geomatics Science and Technology