25 January 1987 Metric Statistical Comparison Of Objective Cloud Detectors
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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
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.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frank P. Kelly, Frank P. Kelly, Chi-Fan Shih, Chi-Fan Shih, Donald L. Reinke, Donald L. Reinke, Thomas H. Vonder Haar, 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); doi: 10.1117/12.942641; https://doi.org/10.1117/12.942641

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