Jump to Main Content
- Guérif, Martine, et al. Show all 4 Authors
- Computers and electronics in agriculture 2010 v.73 no.2 pp. 165-173
- spectroradiometers; canopy; principal component analysis; hyperspectral imagery; least squares; model validation; data analysis; Triticum aestivum; winter wheat; chlorophyll
- ... Hyperspectral data sets contain useful information for characterizing vegetation canopies not previously available from multi-spectral data sources. However, to make full use of the information content one has to find ways for coping with the strong multi-collinearity in the data. The redundancy directly results from the fact that only a few variables effectively control the vegetation signature. ...