| 基于多尺度空间ANN - CA模型的遥感影像超分辨率制图方法研究 |
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| 引用本文： | 易嫦,潘耀忠,张锦水.基于多尺度空间ANN - CA模型的遥感影像超分辨率制图方法研究[J].地理与地理信息科学,2007,23(3):42-46. |
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| 作者姓名： | 易嫦 潘耀忠 张锦水 |
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| 作者单位： | 1. 北京师范大学环境演变与自然灾害教育部重点实验室,北京,100875
2. 北京师范大学资源学院,北京,100875 |
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| 基金项目： | 教育部“新世纪优秀人才支持计划” |
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| 摘 要： | 为获取遥感影像混合像元中各组分的空间分布状况,提出一种新的遥感影像超分辨率制图方法,用于继混合像元分解之后的亚像元定位。将元胞自动机理论移植到不同空间尺度的演化上,建立基于神经网络的多尺度元胞自动机模型(ANN-CA),并利用该模型提取北京市海淀区城镇用地超分辨率信息。结果表明,该方法能有效表达图像像元之间的空间自相关性。
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| 关 键 词： | 混合像元 亚像元 超分辨率制图 神经网络 元胞自动机 |
| 文章编号： | 1672-0504（2007）03-0042-05 |
| 修稿时间： | 2006-12-112007-03-17 |
Research on Super-resolution Mapping for Remote Sensing Images Based on a Multi-scale Spatial ANN-CA Model |
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| YI Chang,PAN Yao-zhong,ZHANG Jin-shui.Research on Super-resolution Mapping for Remote Sensing Images Based on a Multi-scale Spatial ANN-CA Model[J].Geography and Geo-Information Science,2007,23(3):42-46. |
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| Authors: | YI Chang PAN Yao-zhong ZHANG Jin-shui |
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| Abstract: | Mixed pixel is a familiar problem in remotely sensed image analysis and classification.The developing soft classification technology provides no indication of the spatial distribution of each class composition in the IFOV given by a pixel.In this paper,the theory of cellular automata(CA) is transplanted to the evolvement of spatial scale.On the basis of multi-scale neural-network-based CA model,a new technology of super-resolution mapping from remote sensing images is proposed,in order to give the appropriate spatial location of each class within the mixed pixel with the agreement of the different land cover fractions which are extracted from a soft classification.The method is tested on super-resolution mapping of urban area in Haidian District,Beijing City at different spatial scales,which indicates convenience and efficiency of the method for expressing the spatial correlation between pixels. |
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| Keywords: | mixed pixel sub-pixel superresolution mapping neural networks cellular automata |
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