A New Algorithm for the On-Board Compression of Hyperspectral Images

A New Algorithm for the On-Board Compression of Hyperspectral Images

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 of drawbacks, especially in remote sensing environments where the hyperspectral images are collected on-board satellites a...

Full description

Bibliographic Details
Main Authors: Raúl Guerra, Yubal Barrios, María Díaz, Lucana Santos, Sebastián López, Roberto Sarmiento
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Remote Sensing
Subjects:
hyperspectral compression
lossy compression
on-board compression
orthogonal projections
Gram–Schmidt orthogonalization
parallel processing
Online Access:http://www.mdpi.com/2072-4292/10/3/428

Internet

http://www.mdpi.com/2072-4292/10/3/428

Similar Items