针对种植面积检测的空间采样设计翻译.docx

目录针对种植面积检测的空间采样设计21.介绍：31.1目标31.2回顾31.3 本文大纲42.网络性能算法42.1 采样网络的目标42.2 采样网络性能算法43.任务说明63.1 Data and notations数据与符号63.2 任务84．实例84.1 静态空间抽样（表2）94.2 动态空间抽样（表3）95．讨论与结论105.1 目标105.2 方法105.3 理论115.4 错误集115.5 工作展望13针对种植面积检测的空间采样设计摘要：关于耕地的更新信息对于中国中央和地方政府。若要全面详尽地覆盖区域信息TM数据等都太昂贵。空间采样 考虑到了 被检测对象的空间分布特征。针对空间离散分布的对象的检测 提出了 直接和间接空间采样模型。间接方法：每一个取样域等于规定区域，但不是直接与申报单位 有关，因此，申报单位估计 在申报区域内几乎没有样品采样。因此，间接采样模型可以针对 大范围申报区域+有限的样本单位和抽样预算 提供样本估计检测对象的分区基于关于变量的控制因素和空间同质性的先验知识。该方法被用于开发 针对检测耕地动态的抽样解决方案。例如，山东省和赵庄市Spatial sampling design for monitoring the area of cultivated landAbstract: Updated information on cultivated land is important for Chinese central and local governments. The data can be acquired using aerial photographs and Thematic Mapper (TM) images. But an exhaustive annual survey covering all of China’s territory by these remote sensing images is too expensive, therefore a sampling technique has to be employed. Spatial sampling takes the spatial distribution characteristics of the object to be monitored into account. We propose both direct and indirect spatial sampling models for monitoring spatially discrete distributed objects. For the indirect method, each sampling domain is equal to a specified region but is not directly linked with the reporting unit, consequently, the report unit estimates may have few or perhaps even no samples within the report units. Therefore the indirect sampling model can provide sampling estimates for a large number of report units with a limited number of sample units and a limited sampling budget. The zoning of the monitored object is based on prior knowledge about the controlling factors and the spatial homogeneity of the variable. The method is used to develop a sampling solution for monitoring cultivated land dynamics. The models were tested in Shandon province and Zhaozhuang county.1.介绍1.1目标人均耕地在中国约1.6mu（1公顷），不到世界平均水平的三分之一，并且在有限的总耕地面积由于大量的薄非培养特性而进一步减少了，如小垄，小树木繁茂的地区，墓地，独立的房子和院子，小道路，溪流，沟渠，双柱立车等，可能会占用大约5-25％的区域内耕地面积（刘1996年，页25-30）。此外，耕地面积由于城市化和社会经济改革，