DSCOKRI: A library of computer programs for downscaling cokriging in support of remote sensing applications
DSCOKRI: A library of computer programs for downscaling cokriging in support of remote sensing applications
复制标题
DOI：
10.1016/j.cageo.2009.10.006
复制
发表时间：
2010-07-01
影响因子：
4.4
通讯作者：
Chica-Olmo, Mario
中科院分区：
文献类型：
--
作者：
Pardo-Iguzquiza, Eulogio;Atkinson, Peter M.;Chica-Olmo, Mario
本文的主要目的是描述和提供一套用于对卫星传感器图像进行降尺度协同克里格法的计算机程序。降尺度协同克里金的通常设置是通过将具有粗空间分辨率的多光谱图像与来自相同或不同传感器的不同波段的精细空间分辨率图像进行融合来提高它们的空间分辨率。这个问题也被描述为图像锐化，通常融合图像的空间分辨率等于融合中使用的最好空间分辨率。然而，降尺度协同克里金法允许预测图像的空间分辨率增加到超过任何输入数据集的空间分辨率，这一过程通常被称为超分辨率锐化。这里提供的程序支持图像融合和通过缩小Cokriging进行超分辨率锐化所需的所有阶段。这些阶段是：(I)计算每个光谱波段的经验变异函数和每对光谱波段的经验交叉变异函数；(Ii)估计和拟合每个光谱波段的点支撑变异函数和每对光谱波段的交叉变异函数的模型；(Iii)建立协同克里格法系统，得到一组下尺度协同克里格法权值；(Iv)通过将权重应用于经验遥感图像来获得锐化图像。提供了一个使用Landsat ETM+图像的案例研究，以演示该方法的实施并允许对程序进行检查。(C)2010爱思唯尔有限公司。保留所有权利。
The main purpose of this paper is to describe and provide a suite of computer programs for performing downscaling cokriging with satellite sensor images. The usual setting of downscaling cokriging is to increase the spatial resolution of multispectral images with coarse spatial resolution by fusing them with a fine spatial resolution image of a different band from the same or a different sensor. This problem has also been described as image sharpening and commonly the spatial resolution of the fused image is equal to the finest spatial resolution used in the fusion. Nevertheless, downscaling cokriging allows the spatial resolution of the predicted image to be increased beyond that of any of the input data sets, a procedure usually referred to as super-resolution sharpening. The programs provided here support all the required stages for image fusion and super-resolution sharpening by downscaling cokriging. These stages are: (i) compute the empirical variogram of each spectral band and empirical cross-variograms for each pair of spectral bands; (ii) estimate and fit a model to the point-support variogram of each spectral band and cross-variogram of each pair of spectral bands; (iii) set up the cokriging system and obtain the set of downscaling cokriging weights and (iv) obtain the sharpened image by application of the weights to the empirical remote sensing images. A case study with Landsat ETM+ images is provided to demonstrate the implementation of the method and to allow checking of the programs. (C) 2010 Elsevier Ltd. All rights reserved.