Area-to-point cokriging and multiple-point geostatistical simulation for remotely sensed image fusion

被引：0
作者：
Tang, Yunwei [1 ,2 ]
Zhang, Jingxiong [2 ]
机构：
[1] Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
[2] School of Remote Sensing and Information Engineering, Wuhan University
来源：
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2014年 / 39卷 / 07期
关键词：
Area-to-point cokriging; Change-of-support; Conditional simulation; Downscaling; Image fusion; Multiple-point geostatistics;
D O I：
10.13203/j.whugis20130189
中图分类号：
学科分类号：
摘要：
A method for remotely sensed image fusion was developed based on the theory 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 training image is incorporated in simulation, and then a pattern-based decision rule is applied to facilitate reproduction of similar local patterns in simulated images. Area-to-point cokriging (ATPCK) was used as a simulation constraint to solve the change-of-support problem. The method was tested on Landsat ETM+ images. Results suggest that ATPCK-MPG can achieve a more accurate result than simulations that do not account for different data supports. This method can be applied for conflation of other types of spatial data as well.
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页码：856 / 861
页数：5
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