Interpolation-based super-resolution land cover mapping
Interpolation-based super-resolution land cover mapping
复制标题
基于插值的超分辨率土地覆盖制图
DOI：
10.1080/2150704x.2013.781284
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发表时间：
2013-03
影响因子：
2.3
通讯作者：
Zhang Yihang
中科院分区：
文献类型：
--
作者：
Li Xiaodong;Li Wenbo;Xiao Fei;Zhang Yihang
超分辨率制图(SRM)是一种以分数比例影像为输入，生成空间分辨率更高的土地覆盖图的技术。两步SRM方法得到了广泛的应用。首先，从粗分辨率分数图像中估计每一类的精细分辨率指示图。然后，将所有指示图合并，以创建最终的精细分辨率土地覆盖图。本文对反距离加权(IDW)、样条法和克立格法三种常用的插值法，以及最大值法和有无归一化的序贯赋值法四种指示图组合策略进行了评价。基于对两幅模拟图像的应用，对所有SRM算法的性能进行了评估。结果表明，两步SRM方法可以得到比硬分类更平滑的土地覆盖图。缩放系数的增加会导致SRM结果中出现许多小补丁和线性伪影。Spline和Kriging的精度相近，均高于IDW。在大多数情况下，最大值策略可以生成比顺序分配策略更平滑的土地覆盖图，归一化指标值对结果的影响是混合的。
Super-resolution mapping (SRM) is a technique to produce a land cover map with finer spatial resolution by using fractional proportion images as input. A two-step SRM approach has been widely used. First, a fine-resolution indicator map is estimated for each class from the coarse-resolution fractional image. All indicator maps are then combined to create the final fine-resolution land cover map. In this letter, three popular interpolation methods, Inverse Distance Weighted (IDW), Spline and Kriging, as well as four indicator map combination strategies, including the maximal value strategy and the sequential assignment strategy with and without normalization, were assessed. Based on the application to two simulated images, the performance of all SRM algorithms was assessed. The results show that the two-step SRM approach can obtain smoother land cover maps than hard classification. An increase in zoom factor results in the appearance of numerous small patches and linear artefacts in the SRM results. The accuracies of Spline and Kriging are similar and are both higher than that of IDW. The maximal value strategy can generate a smoother land cover map than the sequential assignment strategy in most cases, and a normalizing indicator value has a mixed effect on the result.
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影响因子：
3.4
作者：
Atkinson, Peter M.
通讯作者：
Atkinson, Peter M.
影响因子：
1.3
作者：
Atkinson, PM
通讯作者：
Atkinson, PM
DOI：
10.1016/j.jag.2012.02.008
发表时间：
2012-08
期刊：
Int. J. Appl. Earth Obs. Geoinformation
影响因子：
--
作者：
F. Ling;Xiaodong Li;Fei Xiao;Shiming Fang;Yun Du
通讯作者：
F. Ling;Xiaodong Li;Fei Xiao;Shiming Fang;Yun Du
DOI：
10.1109/36.917895
发表时间：
2001-04
期刊：
IEEE Trans. Geosci. Remote. Sens.
影响因子：
--
作者：
A. Tatem;H. Lewis;P. Atkinson;M. Nixon
通讯作者：
A. Tatem;H. Lewis;P. Atkinson;M. Nixon
影响因子：
13.5
作者：
J. Verhoeye;R. Wulf
通讯作者：
J. Verhoeye;R. Wulf