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Using genetic algorithms in sub-pixel mapping

delete2010-06-07
delete227
PRE
AI
M
Mertens, KC
L
Lieven P. C. Verbeke
D
Ducheyne, EI
DOI：10.1080/01431160310001595073delete
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Abstract

Abstract

En 中文
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.

Journal

International Journal of Remote Sensing cover
International Journal of Remote Sensing
IF:
2.6
Papers:
1.2W
Citations:
2.7W

Organization

No organization information available