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Almost all applications of remotely sensed imagery require generic algorithms for image feature extraction and classification to gain the required information. Therefore the GMOSS project defined a work package Feature recognition to serve the application work packages in their need to derive information for their tasks. For this purpose an important task is the definition of terms, nomenclature and...
In this chapter a wide range of change detection tools is addressed. They are grouped into methods suitable for optical and multispectral data, synthetic aperture radar (SAR) images, and 3D data. Optical and multispectral methods include unsupervised approaches, supervised and knowledge-based approaches, pixel-based and object-oriented approaches, multivariate alteration detection, hyperspectral approaches,...
Satellite data play an increasingly important role in supporting decision making in disaster management. Rapid data integration and visualization are essential to make data accessible and convey the results in an easier to perceive way. Especially when presenting information to a non-expert audience, visualization of the data and its content improves the understanding of the situation at hand. The...
A humanitarian field worker based in Freetown, Sierra Leone, is on a field assessment to assess possible locations for a new school and the road network that exists in the area of interest. The terrain is unfamiliar. She has not been to this part of the country before, although there are several cities close by. “If I only had a map it would make this assessment so much easier”, she thinks. Fortunately,...
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