Using genetic algorithms in sub-pixel mapping

Koen Mertens, LPC Verbeke, EI Ducheyne, RR De Wulf

    Onderzoeksoutput: Bijdrage aan tijdschriftA1: Web of Science-artikelpeer review

    Uittreksel

    In remotely sensed images, mixed pixels will always be present. Soft classification defines the membership degree of these pixels for the different land cover classes. Sub-pixel mapping is a technique designed to use the information contained in these mixed pixels to obtain a sharpened image. Pixels are divided into sub-pixels, representing the land cover class fractions. Genetic algorithms combined with the assumption of spatial dependence assign a location to every sub-pixel. The algorithm was tested on synthetic and degraded real imagery. Obtained accuracy measures were higher compared with conventional hard classifications.
    Oorspronkelijke taalEngels
    TijdschriftInternational Journal of Remote Sensing
    Volume24
    Exemplaarnummer21
    Pagina's (van-tot)4241-4247
    Aantal pagina’s7
    DOI's
    PublicatiestatusGepubliceerd - 1-nov-2003

    Vingerafdruk

    Bekijk de onderzoeksthema's van 'Using genetic algorithms in sub-pixel mapping'. Samen vormen ze een unieke vingerafdruk.

    Dit citeren