Using a Genetic Algorithm as an Optimal Band Selector in the Mid and Thermal Infrared (2.5–14 µm) to Discriminate Vegetation Species

Using a Genetic Algorithm as an Optimal Band Selector in the Mid and Thermal Infrared (2.5–14 µm) to Discriminate Vegetation Species

Genetic variation between various plant species determines differences in their physio-chemical makeup and ultimately in their hyperspectral emissivity signatures. The hyperspectral emissivity signatures, on the one hand, account for the subtle physio-chemical changes in the vegetation, but on the o...

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Bibliographic Details
Main Authors: Saleem Ullah, Thomas A. Groen, Martin Schlerf, Andrew K. Skidmore, Willem Nieuwenhuis, Chaichoke Vaiphasa
Format: Article
Language:English
Published: MDPI AG 2012-06-01
Series:Sensors
Subjects:
genetic algorithms
thermal infrared remote sensing
spectral separability
spectral emissivity
Online Access:http://www.mdpi.com/1424-8220/12/7/8755

Internet

http://www.mdpi.com/1424-8220/12/7/8755

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