Andrea Gerhardinger

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This paper evaluates an inductive learning approach classification technique for vehicle detection and enumeration on very high resolution imagery. It tests pre-processing procedures applied to different images with different atmospheric conditions and automatic detection algorithms for detection and enumeration. This work contributes to the longer term(More)
—Roofless buildings are encountered in case of conflict and disasters as well as construction sites. A methodology for characterizing and counting roofless buildings in Very High Resolution optical images is presented. Using morphological transform to extract specific image components, the proposed method spatially aggregates them in a fuzzy logic(More)
This paper evaluates an inductive learning approach classification technique for vehicle detection and enumeration on very high resolution imagery. It tests pre-processing procedures applied to different images in with different atmospheric conditions and automatic detection algorithms for detection and enumeration. This work contributes to the longer term(More)
In computer vision, stereoscopic image analysis is a well-known technique capable of extracting the third (vertical) dimension. Starting from this knowledge, the Remote Sensing (RS) community has spent increasing efforts on the exploitation of Ikonos one-meter resolution stereo imagery for high accuracy 3D surface modelling and elevation data extraction. In(More)
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