吴海平, 严泰来, 张玮, 李柳霞. 模板法自动提取遥感图像耕地变化信息的研究[J]. 农业工程学报, 2003, 19(6): 159-162.
    引用本文: 吴海平, 严泰来, 张玮, 李柳霞. 模板法自动提取遥感图像耕地变化信息的研究[J]. 农业工程学报, 2003, 19(6): 159-162.
    Wu Haiping, Yan Tailai, Zhang Wei, Li Liuxia. Detecting land change automatically from remotely sensed image by templet[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2003, 19(6): 159-162.
    Citation: Wu Haiping, Yan Tailai, Zhang Wei, Li Liuxia. Detecting land change automatically from remotely sensed image by templet[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2003, 19(6): 159-162.

    模板法自动提取遥感图像耕地变化信息的研究

    Detecting land change automatically from remotely sensed image by templet

    • 摘要: 该文在多时相遥感图像中采用主成份差异法提取耕地变化信息,研究的关键在于差值前如何进行图像匹配、如何自动提取变化信息以及差值后如何确定变化阈值。在逐像元判断是否变化时,根据计算机视觉的数据处理思想提出一种采用(2n+1)×(2n+1)判断模板进行判断的方法,这种方法可以大幅度地改善单像元判断的效果。经试验,提取耕地变化信息的准确程度达85%以上,可以替代人工判读的工作。

       

      Abstract: This paper describes how to detect change of land with multi-temporal remotely sensed image. The key is how to match images, detect change and confirm the change threshold. According to the idea of data processing in compute vision research, this paper puts forward a kind of method for change recognition by (2n+1)×(2n+1) judge templet. The result is considerably improved by judge templet than by only one pixel. After many tests we can conclude that the method mentioned in this paper is feasible. The nicety is up 85 percent using this land change detection technique. So that it can replace artificial recognition.

       

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