This paper considers an approach to the compression of hyperspectral remote sensing data by an original multistage algorithm to increase the compression ratio using auxiliary data processing with its byte representation as well as with its intra-bands correlation. A set of the experimental results for the proposed approach of effectiveness estimation and its comparison with the well-known universal and specialized compression algorithms is presented
This paper deals with the application of distributed source coding (DSC) theoryto remote sensing ima...
This thesis investigates areas of image compression with particular reference to remote sensing imag...
Hyperspectral sensors are able to provide information that is useful for many different applications...
This paper considers an approach to the compression of hyperspectral remote sensing data by an origi...
The capacity of the downlink channel is a major bottleneck for applications based on remote sensing ...
The work is devoted to the description of the development of compression algorithms for hyperspectra...
Hyperspectral imaging is widely used in many applications; especially in vegetation, climate changes...
Hyperspectral remote sensing produces a huge amount of three-dimensional digital data: t...
Abstract-Public policies and private initiatives share the will to explore outer space and to monito...
The goal of data compression is to find shorter representa- tions for any given data. In a data stor...
Predictive lossy compression has been shown to represent a very flexible framework for lossless and ...
The hyperspectral data compression framework to well investigate various compression models is pre...
Hyperspectral sensors are electro-optic sensors which typically operate in visible and near infrared...
This paper deals with the application of distributed source coding (DSC) theory to remote sensing im...
Hyperspectral imaging (HSI) technology has been used for various remote sensing applications due to ...
This paper deals with the application of distributed source coding (DSC) theoryto remote sensing ima...
This thesis investigates areas of image compression with particular reference to remote sensing imag...
Hyperspectral sensors are able to provide information that is useful for many different applications...
This paper considers an approach to the compression of hyperspectral remote sensing data by an origi...
The capacity of the downlink channel is a major bottleneck for applications based on remote sensing ...
The work is devoted to the description of the development of compression algorithms for hyperspectra...
Hyperspectral imaging is widely used in many applications; especially in vegetation, climate changes...
Hyperspectral remote sensing produces a huge amount of three-dimensional digital data: t...
Abstract-Public policies and private initiatives share the will to explore outer space and to monito...
The goal of data compression is to find shorter representa- tions for any given data. In a data stor...
Predictive lossy compression has been shown to represent a very flexible framework for lossless and ...
The hyperspectral data compression framework to well investigate various compression models is pre...
Hyperspectral sensors are electro-optic sensors which typically operate in visible and near infrared...
This paper deals with the application of distributed source coding (DSC) theory to remote sensing im...
Hyperspectral imaging (HSI) technology has been used for various remote sensing applications due to ...
This paper deals with the application of distributed source coding (DSC) theoryto remote sensing ima...
This thesis investigates areas of image compression with particular reference to remote sensing imag...
Hyperspectral sensors are able to provide information that is useful for many different applications...