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This paper introduces a practical way to improve the risk management capacity and resilience of communities by utilizing a prompt flash flood map produced from very high spatial resolution ALOS-2 data...
This paper’s origin is to reach for a way for automatic initiation of shape hypothesis for Model Based Image Analysis (MBIA) in the specific case of agricultural fields. A solution is to start with lo...
Terrestrial methodologies, as high resolution laser scanning and digital photogrammetry, are used in many applications in the field of architectural and cultural heritage surveys: they are character...
As known, at the present time, remote sensing technologies are being improved and year by year, by launching new satellites whose image taking configurations are improved with new techniques, images c...
As high resolution satellite images are being used widely in many applications more and more users are demanding images of good quality. The ‘quality’ of satellite images are expressed by many technic...
Very high resolution space borne imagery is essential for a large scale and very detailed urban monitoring and the Quickbird sensor is one of those. It offers images with a spatial resolution of 0.6...
We study filter–based feature selection methods for classification of biomedical images. For feature selection, we use two filters — a relevance filter which measures usefulness of individual features...
Felyx is currently under development and is the latest evolution of a generalised High Resolution Diagnostic Data Set system funded by ESA. It draws on previous prototype developments and experience i...
In view of the fact that road network detection effect in high-resolution image is not satisfying, an approach for road network detection based on Bayesian Network is put forward in this paper. First,...

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