An interactive tool for semi-automatic feature extraction of hyperspectral data

Abstract: The spectral reflectance of the surface provides valuable information about the environment, which can be used to identify objects (e.g. land cover classification) or to estimate quantities of substances (e.g. biomass). We aimed to develop an MS Excel add-in – Hyperspectral Data Analyst (HypDA) – for a multipurpose quantitative analysis of spectral data in VBA programming language. HypDA was designed to calculate spectral indices from spectral data with user defined formulas (in all possible combinations involving a maximum of 4 bands) and to find the best correlations between the quantitative attribute data of the same object. Different types of regression models reveal the relationships, and the best results are saved in a worksheet. Qualitative variables can also be involved in the analysis carried out with separability and hypothesis testing; i.e. to find the wavelengths responsible for separating data into predefined groups. HypDA can be used both with hyperspectral imagery and spectrometer measurements. This bivariate approach requires significantly fewer observations than popular multivariate methods; it can therefore be applied to a wide range of research areas.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: An interactive tool for semi-automatic feature extraction of hyperspectral data ; volume:8 ; number:1 ; year:2016 ; pages:493-502 ; extent:10 ; Open Geosciences ; 8, Heft 1 (2016), 493-502 (gesamt 10)

Contributors, Places and Time

• Creator: Kovács, Zoltán ; Szabó, Szilárd

Further information

• DOI: 10.1515/geo-2016-0040
• URN: urn:nbn:de:101:1-2501051444150.851346409693
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:21 AM CEST