Hyperspectral

Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery.

This book presents new methods of analyzing and processing hyperspectral medical images, which can be used in diagnostics, for example for dermatological images. The algorithms proposed are fully automatic and the results obtained are fully reproducible. Their operation was tested on a set of several thousands of hyperspectral images and they were implemented in Matlab. The presented source code can be used without licensing restrictions. This is a valuable resource for computer scientists, bioengineers, doctoral students, and dermatologists interested in contemporary analysis methods.

Authors: Koprowski, Robert
Introduces methods of analysis and processing of hyperspectral medical images which have been tested in practice in the Matlab® environment
Presents the applied source code and describes it in detail
Can also be used to teach advanced engineering students in fields related to computer science