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Proceedings Paper

Metric Statistical Comparison Of Objective Cloud Detectors
Author(s): Frank P. Kelly; Chi-Fan Shih; Donald L. Reinke; Thomas H. Vonder Haar
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Paper 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.

Paper Details

Date Published: 25 January 1987
PDF: 6 pages
Proc. SPIE 0846, Digital Image Processing and Visual Communications Technologies in Meteorology, (25 January 1987); doi: 10.1117/12.942641
Show Author Affiliations
Frank P. Kelly, Colorado State University (United States)
Chi-Fan Shih, Colorado State University (United States)
Donald L. Reinke, Colorado State University (United States)
Thomas H. Vonder Haar, Colorado State University (United States)

Published in SPIE Proceedings Vol. 0846:
Digital Image Processing and Visual Communications Technologies in Meteorology
Paul Janota, Editor(s)

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