The amount of image data generated each day in health care is ever increasing, especially
in combination with the improved scanning resolutions and the importance of volumetric …

Soil moisture (SM) and evapotranspiration (ET) are key variables of the terrestrial water
cycle with a strong relationship. This study examines remotely sensed soil moisture and …

Hyperspectral sensors are able to provide information that is useful for many different
applications. However, the huge amounts of data collected by these sensors are not exempt …

A novel wavelet-based scheme to increase coefficient independence in hyperspectral
images is introduced for lossless coding. The proposed regression wavelet analysis (RWA) …

Remote sensing applications have gained in popularity in recent years, which has resulted
in vast amounts of data being produced on a daily basis. Managing and delivering large sets …

Advanced microscopic techniques such as high-throughput, high-content, multispectral, and
3D imaging could include many images per experiment requiring hundreds of gigabytes …

This article studies the performance impact related to different parameter choices for the new
CCSDS-123.0-B-2 Low-Complexity Lossless and Near-Lossless Multispectral and …

Dimensionality reduction is ubiquitous in biomedical applications. A newly proposed
spectral dimensionality reduction method, named kernel entropy component analysis …

The Infrared Atmospheric Sounding Interferometer (IASI), implemented on the MetOp
satellite series, represents a significant step forward in atmospheric forecast and weather …

In this paper, a hyperspectral image compression method is proposed. It is based on
spectral clustering, linear prediction and the vector quantization (VQ). Since the …