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  • Recent advances in remote sensing techniques made research possible in those areas where human hands are inaccessible. Digital Imagery brings the virtual image of a desired location, which requires some pre-processing to bring the view to an optimal level. Accuracy level in image classification is assumed on the categorization of the pixel into one of the several land cover classes. When the recognition of pixel accounts for two different classes at the same time, the resulting pixel is categorized as a mixed pixel. This paper proposes a novel approach by clustering the dataset of mixed pixel and thereafter implementing fusion of Ant Colony Optimization (ACO) and Biogeography Based Optimization (BBO) thereby resolving the problem of mixed pixels.
  • Recent advances in remote sensing techniques made research possible in those areas where human hands are inaccessible. Digital Imagery brings the virtual image of a desired location, which requires some pre-processing to bring the view to an optimal level. Accuracy level in image classification is assumed on the categorization of the pixel into one of the several land cover classes. When the recognition of pixel accounts for two different classes at the same time, the resulting pixel is categorized as a mixed pixel. This paper proposes a novel approach by clustering the dataset of mixed pixel and thereafter implementing fusion of Ant Colony Optimization (ACO) and Biogeography Based Optimization (BBO) thereby resolving the problem of mixed pixels. (en)
Title
  • Resolving Mixed Pixels by Hybridization of Biogeography Based Optimization and Ant Colony Optimization
  • Resolving Mixed Pixels by Hybridization of Biogeography Based Optimization and Ant Colony Optimization (en)
skos:prefLabel
  • Resolving Mixed Pixels by Hybridization of Biogeography Based Optimization and Ant Colony Optimization
  • Resolving Mixed Pixels by Hybridization of Biogeography Based Optimization and Ant Colony Optimization (en)
skos:notation
  • RIV/61989100:27240/12:86084576!RIV13-MSM-27240___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
  • Abraham Padath, Ajith
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 165234
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/12:86084576
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Multi spectral dataset; ACO; BBO; Clustering; Mixed Pixels (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [88B0D2EBE1D6]
http://linked.open...v/mistoKonaniAkce
  • Brisbane
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • 2012 IEEE Congress on Evolutionary Computation (CEC), 2012
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Abraham Padath, Ajith
  • Bhola, Abhishek
  • Panchal, V. K.
  • Singhal, Siddhant
  • Sinha, Suruchi
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4673-1509-8
http://localhost/t...ganizacniJednotka
  • 27240
is http://linked.open...avai/riv/vysledek of
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