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Communication compression is an essential strategy for alleviating communication overhead by reducing the volume of information exchanged between computing nodes in large-scale distributed stochastic ...
A heat exchanger network (HEN) plays an important role in the chemical process industry owing to its significant effect in energy recovery. A compression-absorption cascade refrigeration system (CACRS...
The Data Compression Conference (DCC) is an international forum for current work on data compression and related applications. Compression of specific types of data (text, images, video, etc.). Comp...
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...
High resolution level in satellite imagery came with its fundamental problem as big amount of telemetry data which is to be stored after the downlink operation. Moreover, later the post-processing and...
Since the emergence of sensor data streams, increasing amounts of observations have to be transmitted, stored and retrieved. Performing these tasks at the granularity of single points would mean an in...
The recording and transfer rates of digital imaging systems can not keep abreast of the actual captured amount of data.Because the compression rates of standard loss-less techniques are still too low,...
In the field of aerial/satellite remote sensing, the quality of data generated by remote sensing platforms is increasing at a significant rate and researches in image compression focus in two aspects:...
The number of image features used by content-based remote sensing image retrieval (CBRSIR) system is not less than one hundred, and the image amount is very large, at the same time, the time cost is v...
For an efficient usage and distribution of high resolution satellite images, several problems need to be solved. The issue comes with the increasing size of these data. Constraints are different...
In web based GIS visual simulation systems, the DEM multi-scale presentation and lossy-to-lossless progressive compression and transmission based on integer-to-integer wavelet transforms can eliminate...
Terrain data is important data source in the 3D geographic visualization system. The key problem to browse global terrain data in network environment is to organize, transform and display data in a q...
It is well known that the commonly used separable extensions of one-dimensional transforms, such as the wavelet transform, have limitations in capturing the geometry of image edges. But natural scene ...
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...
Data indexing and compression procedures have enabled several significant advances in the application of spatial data. Data coverage, portability, transfer, multi-scale representation (pyramids), quer...

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