摘要:
遥感数据在空间分辨率和时间分辨率上相互制约,单一的卫星传感器不能获得既具有高空间分辨率又具有高时间分辨率的数据,遥感数据时空融合技术是目前解决此问题的重要方法之一.对此介绍了国内外在遥感数据时空融合领域的主要研究成果,通过对当前主流融合模型构建理论进行对比分析,将时空融合模型分为基于变换的模型和基于像元重构的模型,并且进一步将基于像元重构的模型分为了基于线性混合模型和时空自适应融合模型2类,分别介绍了各类模型的基本原理与方法,并对模型的优缺点进行了对比分析.最后,对时空融合模型的发展趋势从数据、应用和尺度3个方面进行了展望.
关键词:
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遥感数据
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时空融合
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模型
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对比分析
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展望
Abstract:
Taking the interaction between spatial and temporal resolution of remote sensing data into consideration, the authors hold that there is no satellite sensor that can produce images with both high spatial and temporal resolution,and spatiotemporal fusion of remote sensing data is an effective method to solve this problem. This paper introduces main research achievements of spatiotemporal fusion model obtained both in China and abroad. Based on the comparative analysis of the mainstream fusion models,these models can be divided into two categories, i.e., the transformation-based model and the pixel-reconstruction-based model. Furthermore,the authors divide the pixel-reconstruction-based model into mixed linear model and spatial and temporal adaptive reflectance model, and then introduce the basic principles,methods of these models. This paper makes a comparative analysis of the advantages and disadvantages of various aspects of the model. At last, the data, application and scale prospect of spatiotemporal fusion models are put forward.
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