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本文利用不同时期的多平台遥感数据,研究了城市动态扩展的监测方法。文中采用了分类结果复合方法,在高速发展的岳阳地区的试验中,取得了良好的效果。在遥感图像的城市信息提取方面,设计了多个不同大小的权系数模板,提取相应的频数矢量作为城市的结构信息。利用这种结构信息,对城市图像进行逐步的结构处理,最终精度在91.7％以上。试验表明,本方法不仅对于一个实用的动态监测系统是一种灵活、实用性较强的监测方法,而且是解决充分利用已有遥感信息资源的有效手段。
In this paper, multi-platform remote sensing data in different periods are used to study the monitoring method of urban dynamic expansion. In this paper, the classification results of the composite method, in the rapid development of Yueyang test, and achieved good results. In the aspect of city information extraction of remote sensing images, a plurality of weight coefficient templates of different sizes are designed, and the corresponding frequency vectors are extracted as the structural information of the city. Using this structure information, the urban image is processed step by step, with a final precision of over 91.7%. Experiments show that this method is not only a flexible and practical monitoring method for a practical dynamic monitoring system, but also an effective method to solve the problem of making full use of the existing remote sensing information resources.