Geospatial data fusion refers to the ability to process ( fuse) data from a variety of sources which capture and/or model earth-related phenomena in order to produce added-value information. This paper provides an overview of the latest advancements in standardization for interoperability in the geographical information community achieved by the International Organization for Standardization (ISO) and the Open Geospatial Consortium (OGC). It also provides guidelines and suggestions for designing superior architectures to support geospatial data fusion by employing OGC/ISO specifications.
This paper describes a system for estimating the local density of small objects on the sea floor by exploiting a robust, non-parametric detector for high resolution images acquired by side scan sonar sensors. Low grazing angle target images are characterised by an area of strong intensity, the highlight, close to an area, the shadow, at the sensor noise level. The detector makes use of mathematical morphology to detect the highlight and the shadow areas within the image, and a fusion scheme to reduce the false alarms due to the sea floor disturbance by declaring a target acquired if an highlight is close to a shadow. Results on data sets collected in the Ligurian and Baltic Sea are reported and discussed.
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