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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...
Satellite image classification has been a major research field for many years with its varied applications in the field of Geography, Geology, Archaeology, Environmental Sciences and Military purposes...
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...
The availability of very high spatial resolution images in remote sensing brings the texture segmentation of images to a higher level of complexity. Such images have so many details that the classic...
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...
In the near future, there will be two more civil GPS signals in addition to the current one at the L1 frequency (1575.42 MHz). The second civil signal will be broadcast at the L2 frequency (1227.60 MH...
This paper studies the recovery of a superposition of point sources from noisy bandlimited data. In the fewest possible words, we only have information about the spectrum of an object in the lowfreque...
This paper develops a mathematical theory of super-resolution. Broadly speaking, superresolution is the problem of recovering the fine details of an object—the high end of its spectrum— from coarse sc...
We present a framework to super-resolve planar regions found in urban scenes and other man-made environments by taking into account their 3D geometry. Such regions have highly structured straight edge...
In single-molecule microscopy it is necessary to locate with high precision point sources from noisy observations of the spectrum of the signal at frequencies capped by fc, which is just about the fre...
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...

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