Conrad Bielski

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Users of remotely sensed imagery are often faced with the need to stitch two or more overlapping scenes together. This is generally referred to as image composition and the outcome is a single image with no overlapping regions which is also called an image mosaic. The most difficult part of image composition however, is deciding where to place the cut line(More)
Image compositing is defined as the assembling of two or more overlapping images into a single image. Recently, a morphological image compositing algorithm was proposed that automatically positions seam lines along salient image structures. This algorithm requires that all images used in the compositing procedure be held in computer memory. Hence, when(More)
The goal of the two year Ground European Network for Earth Science Interoperations-Digital Repositories (GENESI-DR) project was to build an open and seamless access service to Earth science digital repositories for European and world-wide science users. In order to showcase GENESI-DR, one of the developed technology demonstrators focused on fast search,(More)
Automatic image compositing of very large data sets is necessary for the creation of extensive mosaics based on high spatial resolution remotely sensed imagery. A novel morphological image compositing algorithm has been developed which adapts to salient images edges. This technique produces seam lines that are difficult to identify by the naked eye which is(More)
Despite the growing development of space-based systems aimed at monitoring and studying natural hazards, floods continue to harm humankind worldwide, causing enormous human and economic losses. In view of improving the existing Copernicus Emergency Management Service (EMS) we propose FLOODIS: a novel Copernicus downstream service that exploits existing(More)
We present Ontop-spatial, a geospatial extension of the wellknown OBDA system Ontop, that leverages the technologies of geospatial databases and enables GeoSPARQL-to-SQL translation. We showcase the functionalities of the system in real-world use cases which require data integration of different geospatial sources.
This paper is about an initiative to produce an INSPIRE compliant pan-European image data set of known spatial accuracy. Two major motivations are behind developing this product. One is to have a trusted reference for any other rasterised data which is already orthorectified or requires orthorectification. The other is to have a gap-free and seamless image(More)
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