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Using genetic algorithms in sub-pixel mapping

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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.
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Document Type: Research Article

Affiliations: Laboratory of Forest Management and Spatial Information Techniques Ghent University 9000 Gent Belgium

Publication date: 01 November 2003

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