| 一种基于进化Agent的遥感影像亚像元定位方法 |
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| 引用本文： | 吴柯.一种基于进化Agent的遥感影像亚像元定位方法[J].遥感学报,2009,13(1). |
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| 作者姓名： | 吴柯 |
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| 作者单位： | 武汉大学测绘遥感信息工程国家重点实验室,湖北,武汉,430079 |
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| 摘 要： | 遥感影像中存在着昆合像元,软分类技术将这些像元按照一定的百分比划分为不同的地物类别,亚像元定位技术利用在每个混合像元中所获得的百分比信息,得到一个锐化后的分类影像.像元分解成不同的子像元,代表不同的地物类别成分.进化Agent技术结合一种空间邻域的假设关系,通过繁殖和扩散两种行为模式,分配给每一个亚像元一个确定的位置,从而达到定位的效果.利用合成影像和退化的真实影像进行实验,通过与传统的硬分类进行精度比较,证明进化Agent技术是一种简单易行的亚像元定位算法.
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| 关 键 词： | 遥感影像 亚像元定位 进化Agent技术 扩散 繁殖 |
Sub-pixel toying of remote sensed images based on evolutionary agent algorithm |
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| WU Ke.Sub-pixel toying of remote sensed images based on evolutionary agent algorithm[J].Journal of Remote Sensing,2009,13(1). |
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| Authors: | WU Ke |
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| Institution: | State Key Laboratory for Information Engineering Surveying,Mapping and Remote Sensing,Wuhan University,Hubei Wuhan 430079,China |
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| Abstract: | In remote sensed images, mixed pixels are always presen.t Soft classification defines themembership degree of these
pixels fordifferent land cover classes. Sub-pixelmapping is a technique designed to use the information contained in thesemixed
pixels to obtain a sharpened image. Pixels are divided into sub-pixels, representing the land coverclass fractions. Evolutionary agent
algorithms, combinedwith the assumption of spatialdependence, assign a location to every sub-pixel through two reactive behaviors
which arebreeding and diffusion. In thepaper, the algorithm is tested on degraded synthetic and real imagery. Theobtained accuracy
measures are highercomparedwith conventionalhard classifications, so it isproved to be a simple and effectivemethod for sub-pixel
mapping. |
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| Keywords: | remote sensed imagery sub-pixel mapping evoulionary agent algorithm breeding diffusing |
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