HyperAlgo

DEVELOPMENT OF ALGORITHMS AND COMPUTING

TECHNIQUES FOR DATA MINING OF SPECTRAL-BASED

INFORMATION FOR ECOLOGICAL

AND SOIL MAPPING

Czech–Israeli project
(2013-2015)

RESEARCH TOPICS

- quantitative modeling

- spectral information

- data mining

- computing system

- mapping

- spectral data harmonization / normalization

- hyperspectral applications

- environment

PROJECT GOALS

- To test new concept of statistical modeling – fully automatized approach that employs all-possibilities approaches (APA)
to the best performance statistical model

- To test and validate new models using spectroscopic data with high dimensionality as well as analytical data

- Create new tools for remote sensing community – IDL scripts and GUI’s -> QUANTools

BASIC INFORMATION

This bi-lateral research focused on hyperspectral remote sensing data analysis. The Israel team focused on developing a computing engine for (big) data mining of spectral data - PARACUDA®. The Czech team also developed software named QUANTools.

Research was being funded by the Ministry of education, youth and sports of the Czech Republic. Grant No. LH13266