Modified Algorithm of the Detection of Abrupt Changes in a Casual Process and its use for Processing of Multispectral Data
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Abstract
Data processing in information collection systems using the algorithm of detection of abrupt changes in a casual process is considered. The original data represent the change function for a certain coordinate of the analyzed parameter by which the coordinates of its essential (uneven) change are defined. The problem solution of the detection of a sequence of abrupt changes of the analyzed
function in the form of solving statistics for estimation the maximum likelihood ratio of the coordinates of abrupt changes using the modified algorithm of cumulative amounts with adjusted slitherring window is shown. The example of using the proposed modified algorithm of the detection of abrupt changes for data processing of multispectral remote sensing and determination the most informative spectral channel is given.
