Vectorization and Spatial Query Architecture on Island Satellite Images

Süleyman Eken, Ahmet Sayar, Vectorization and Spatial Query Architecture on Island Satellite Images, Procedia Computer Science Journal (ISSN: 1877-0509) by Elsevier, 2012 (Accepted).


Vector data structure produces smaller file size than raster image because a raster image needs space for all pixels while only point coordinates are stored in vector representation. Raster-to-vector conversion, i.e. vectorization, has key functionalities in Geographic Information Systems (GIS). This study presents a technique converting raster satellite island images into vector data as polygons by using edge-detection algorithms. This enables storing satellite images as vector objects into spatial database systems and utilizing the advanced built-in spatial functions and queries developed by the spatial database community. The effectiveness of the technique is demonstrated by applying on a system detecting spatiotemporal changes in a real-world island satellite image.

[Link to the paper]


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