Abstract
Abstract. Updating of existing geo-database, particularly in developing countries, is one of the important and essential issues in geospatial information systems. Numerous change detection methods have been proposed to resolve this issue. In this study, a novel approach is proposed for automatic building change detection and updating from available outdated building map and products of satellite stereo images. The proposed method consists of four steps. In the first step, preliminary building outline for a candidate building is extracted from available old polygon and DSM based on an active contour model. Then, some change detection rules are considered to find out whether or not the building has been changed. If changes are detected, the following third and fourth steps based on a hierarchical approach, run to generate precise changed building outline. The proposed method is tested and evaluated using sample dataset from Tunis City and the obtained results prove the feasibility of this algorithm for automatic building map updating using high resolution stereo satellite images.
Highlights
Map updating as one of the critical and important tasks in mapping agencies around the world is currently a manual process
To decrease the smoothing effect of the DSM as well as the removing the vegetation areas for building extraction process, a supervised pixel-based classification is carried out using available orthorectified multispectral image
The proposed algorithm for automatic building map updating using outdated buildings map, DSM and pan-sharpened orthorectified multispectral image from Worldview-2 satellite imagery has been tested in an area located at the Tunis, Capital of Tunisia
Summary
Map updating as one of the critical and important tasks in mapping agencies around the world is currently a manual process. Availability of new data and the use of appropriate algorithms for building extraction and change detection, are the most important success factors in building map updating process. Based on available datasets in two different epochs, change detection methods can be classified into image-image and image-map comparison (Bouziani et al, 2010). Image-map strategy uses an existing old map to detect changes between new data and existing geo-database. This strategy is more complicate than former because map data has a level of generalization and abstraction. Image-map change detection strategies are usually classified into post-extraction and map-guided methods (Bouziani et al, 2010). The change is defined as the non-intersection of the old and new vector features between two temporal spatial states
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