基于面-点协同克里格和多点地统计模拟的遥感影像融合方法

area-to -point  cokrigin g and multiple -point  geostatistical simulation  for remotely sensed  image fusion

  • 摘要: 提出了一种基于多点地统计学理论的遥感影像融合方法旨在用多点地统计模拟提高融合后影像的空间分辨率 模拟从训练图像中提取包含空间相关性信息的模型再通过基于模式的判别准则实现局部相似图案的重现 其中采用面-点协同克里格法为模拟提供制约条件以解决不同数据支撑间的转换问题 实验用于landsat etm+影像的融合结果表明基于面-点协同克里格的多点地统计模拟方法与未考虑数据支撑差异的模拟相比较能达到更高的融合精度 该方法亦可用于其他类型空间数据的套合

     

    Abstract: a method for  remotel y sensed  image fusion was developed based on the  theor y of multiple point  geostatistics mpg.the aim was to  increase  the  spatial  resolution of  the  fused  image using mpg-based simulation.a spatial  correlation model in  the  form of  a trainin g image is  incor porated  insimulation and then a pattern-based decision rule  is  applied  to  facilitate  re production of  similar  localpatterns  in  simulated  images.area-to-point  cokri gingatpckwas used as  a simulation  constraintto  solve  the  change-of-support  problem.the method was tested  on landsat etm+images.resultssuggest  that atpck-mpg can achieve  a more accurate  result  than simulations  that  do not account  fordifferent  data supports.this method can be applied  for  conflation of  other  types  of  spatial  data aswell.

     

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