Sub-pixel Mapping with Partheno-Genetic Algorithm and Sub-pixel/pixel Spatial Attraction Model |
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Authors: | Shen Zhangquan Yu Zhoulu |
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Affiliation: | (1.Institute of Agricultural Remote Sensing and Information Technology Application,;
Zhejiang University,Hangzhou 310058,China;2.Key Laboratory of Agricultural Remote;
Sensing and Information System,Zhejiang Province,Hangzhou 310058,China ) |
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Abstract: | Mixed pixels are widely presented in remotely sensed images.Soft classification techniques can avoid the loss of information comparing to hard classification methods while handling mixed pixels.However,the assignment to these classes by soft classification does not specify the location in the pixel.Sub-pixel mapping (or super-resolution mapping) is a technique which designed to use the information obtained by soft classification to get a sharpened image and it can incorporate benefits of both hard and soft classification techniques.In this paper,a variation of genetic algorithm,named as partheno-genetic algorithm (PGA),is developed to accomplish the sub\|pixel mapping.With the sub-pixel/pixel attraction model,PGA can achieve sub-pixel mapping in a straightforward one-pass process.It is evaluated with artificial and degraded land cover images by visual and quantitative classification accuracy indices.The results show this method can increase accuracy while compared to hard classification. |
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Keywords: | Sub-pixel Mapping Super-resolution Mapping Partheno-genetic Algorithm Sub-pixel/pixel spatial attraction model |
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