globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2012.04.012
Scopus记录号: 2-s2.0-84883050822
论文题名:
Downscaling in remote sensing
作者: Atkinson P; M
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 22, 期:1
起始页码: 106
结束页码: 114
语种: 英语
英文关键词: Area-to-point kriging ; Area-to-point prediction ; Downscaling ; Super-resolution mapping
Scopus关键词: areal interpolation ; downscaling ; geostatistics ; imagery ; kriging ; mapping ; regression analysis ; remote sensing ; spatial resolution ; spatial variation
英文摘要: Downscaling has an important role to play in remote sensing. It allows prediction at a finer spatial resolution than that of the input imagery, based on either (i) assumptions or prior knowledge about the character of the target spatial variation coupled with spatial optimisation, (ii) spatial prediction through interpolation or (iii) direct information on the relation between spatial resolutions in the form of a regression model. Two classes of goal can be distinguished based on whether continua are predicted (through downscaling or area-to-point prediction) or categories are predicted (super-resolution mapping), in both cases from continuous input data. This paper reviews a range of techniques for both goals, focusing on area-to-point kriging and downscaling cokriging in the former case and spatial optimisation techniques and multiple point geostatistics in the latter case. Several issues are discussed including the information content of training data, including training images, the need for model-based uncertainty information to accompany downscaling predictions, and the fundamental limits on the representativeness of downscaling predictions. The paper ends with a look towards the grand challenge of downscaling in thecontext of time-series image stacks. The challenge here is to use all the available information to produce a downscaled series of images that is coherent between images and, thus, which helps to distinguish real changes (signal) from noise. © 2012 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79871
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作者单位: Global Environmental Change and Earth Observation Research Group, Geography and Environment, University of Southampton, Highfield Southampton SO17 1BJ, United Kingdom

Recommended Citation:
Atkinson P,M. Downscaling in remote sensing[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,22(1)
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