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The great amount of data that will be produced during the imaging of Mercury by the stereo camera (STC) of the BepiColombo mission needs a compromise with the restrictions imposed by the band downlink...
One of the efficient solutions for data transmission and storage of huge remote sensing images is the high-fidelity and rapid compression. The hybrid algorithms based on fractal coding and wavelet tra...
Recent developments in sensor technology make possible Earth observational remote sensing systems with high spectral resolution and data dimensionality. As a result, the flow of data from satellite-...
Image classification, either supervised or unsupervised approach, is an image analysis tool to categorise the unidentified pixels in an image to the designed thematic or spectral separable classes re...
The improvements of aerial image scanners regarding the scan resolution and in particular the development of new digital cameras (e.g. the DMC of Z/I Imaging) comes along with the production of Gigaby...
Lossy compression is becoming increasingly used in remote sensing although its effect on the processing results has yet not been fully investigated. This paper presents the effects of JPEG 2000 loss...
Image compression can improve the performance of the digital systems by reducing time and cost in image storage and transmission without significant reduction of the image quality. Furthermore, the...
Emergent computation in semi-totalistic cellular automata (CA) is used to generate a set of basis (or codebook). Such codebooks are convenient for simple and circuit efficient compression schemes base...
Spatial prediction is a promising technique for image coding. For example, the coming AVC/H.264 standard adopts directional spatial prediction in the Intra frame coding. Similar to the traditional DCT...

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