Metric Statistical Comparison Of Objective Cloud Detectors

Frank P. Kelly; Chi-Fan Shih; Donald L. Reinke; Thomas H. Vonder Haar

doi:10.1117/12.942641

25 January 1987 Metric Statistical Comparison Of Objective Cloud Detectors

Frank P. Kelly, Chi-Fan Shih, Donald L. Reinke, Thomas H. Vonder Haar

Proceedings Volume 0846, Digital Image Processing and Visual Communications Technologies in Meteorology; (1987) https://doi.org/10.1117/12.942641
Event: Cambridge Symposium on Optics in Medicine and Visual Image Processing, 1987, San Diego, CA, United States

Abstract

A primary goal of satellite cloud analysis is to objectively detect the presence of a cloud field and to identify its spatial structure. Several different classical non-metric algorithms ex-ist which, to varying degrees, approach this goal. This paper describes how a technique using metric (Euclidean distance) statistical methods is applied in the detection and subsequent verification of cloud fields. To quantitatively and objectively determine the effectiveness of several different cloud detec-tion algorithms, an inferential metric statistical technique is applied. This method, termed Multi-Response Blocking Pro-cedures (MRBP), compares the results of the detection algo-rithms with a verification data set, resulting in a measure of agreement and a level of significance. The MRBP results are presented and discussed.

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Frank P. Kelly, Chi-Fan Shih, Donald L. Reinke, and Thomas H. Vonder Haar "Metric Statistical Comparison Of Objective Cloud Detectors", Proc. SPIE 0846, Digital Image Processing and Visual Communications Technologies in Meteorology, (25 January 1987); https://doi.org/10.1117/12.942641

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KEYWORDS

Clouds

Satellites

Sensors

Image processing

Algorithm development

Binary data

Image analysis

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