The Consultative Committee for Space Data Systems (CCSDS) published the CCSDS 123.0-
B-2,“Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image …

Lossy compression of remote sensing data has found numerous applications. Several
requirements are usually imposed on methods and algorithms to be used. A large …

Hyperspectral images are a useful remote sensing tool that often reaches hundreds of
megabytes in size. The CCSDS 123.0-B-2 is a recent algorithm that achieves lossless and …

The increment in the use of high-resolution imaging sensors on-board satellites motivates
the use of on-board image compression, mainly due to restrictions in terms of both hardware …

Nowadays, hyperspectral imaging is recognized as cornerstone remote sensing technology.
The explosive growth in image data volume and instrument data rates, compete with limited …

On-board multi-and hyperspectral instruments acquire large volumes of data that need to be
processed with the limited computational and storage resources. In this context, the …

The integration of video sensors on-board satellites is becoming a trend in the space
industry, since they provide extra information in the temporal domain when compared with …

After considering the spectral correlation of structure and statistics of the hyperspectral
image, the redundancy reduction is optimized using reversible transformation of integer …

The capacity of the downlink channel is a major bottleneck for applications based on remote
sensing hyperspectral imagery (HSI). Data compression is an essential tool to maximize the …

Edge applications evolved into a variety of scenarios that include the acquisition and
compression of immense amounts of images acquired in space remote environments such …