Using a genetic algorithm as an optimal band selector in the mid and thermal infrared (2.5-14 µm) to discriminate vegetation species

HIGHLIGHTS

• who: Saleem Ullah 1 from the Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente have published the article: Using a Genetic Algorithm as an Optimal Band Selector in the Mid and Thermal Infrared (2.5-14 µm) to Discriminate Vegetation Species, in the Journal: Sensors 2012, 12, 8755-8769 of 15/05/2012
• what: The aim of this paper is to investigate the performance of genetic algorithms coupled with the spectral angle mapper (SAM) to identify a meaningful subset of wavebands sensitive enough to discriminate thirteen broadleaved from the laboratory measured . . .
  

   

  

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