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面向地理对象多尺度表达的剖分编码方法研究
现有模型对影像数据中的地理对象进行多尺度表达很困难,鉴于全球 剖分模型在对地理对象表达时所具备的全球唯一性、层次性、多尺度性、编码具有地学含义等特点,提出了面向地理对象多尺度表达的剖分编码方法,目的是对地理 对象赋予统一的剖分编码,使编码具有地学含义和多尺度特性.-Research on existing models subdivision encoding methods for multi-scale representation of geographic objects to the image data objects multiscale geographic expression is very difficult, given the global geographic split when the object model that have globally unique expression, hierarchy, multiscale, encoding a polypeptide having to learn the meaning and other features of the proposed subdivision coding method for multi-scale representation of geographic objects, the object is assigned a unified geographic objects split coding, coding has to learn the meaning and multi-scale features.
现有模型对影像数据中的地理对象进行多尺度表达很困难,鉴于全球 剖分模型在对地理对象表达时所具备的全球唯一性、层次性、多尺度性、编码具有地学含义等特点,提出了面向地理对象多尺度表达的剖分编码方法,目的是对地理 对象赋予统一的剖分编码,使编码具有地学含义和多尺度特性.-Research on existing models subdivision encoding methods for multi-scale representation of geographic objects to the image data objects multiscale geographic expression is very difficult, given the global geographic split when the object model that have globally unique expression, hierarchy, multiscale, encoding a polypeptide having to learn the meaning and other features of the proposed subdivision coding method for multi-scale representation of geographic objects, the object is assigned a unified geographic objects split coding, coding has to learn the meaning and multi-scale features.
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闈㈠悜鍦扮悊瀵硅薄澶氬昂搴﹁〃杈剧殑鍓栧垎缂栫爜鏂规硶鐮旂┒.pdf