Using genetic algorithms in sub-pixel mapping

被引：218
|
作者：
Mertens, KC [1 ]
Verbeke, LPC [1 ]
Ducheyne, EI [1 ]
De Wulf, RR [1 ]
机构：
[1] Univ Ghent, Lab Forest Management & Spatial Informat Tech, B-9000 Ghent, Belgium
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 2003年 / 24卷 / 21期
关键词：
D O I：
10.1080/01431160310001595073
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
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.
引用
收藏
页码：4241 / 4247
页数：7
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