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Content Provider | IEEE Xplore Digital Library |
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Author | Mkrtchyan, F.A. Krapivin, V.F. |
Copyright Year | 2007 |
Description | Author affiliation: Inst. of Radioengineering & Electron., Moscow (Mkrtchyan, F.A.) |
Abstract | The basic scheme of collection and processing of the information in geoinformation monitoring system recognizes that effective monitoring of investigated object is possible under complex use of methods of simulation modeling, collection and processing of the information . One of the basic tasks of geoinformation monitoring of an environment is automation of data processing of measurements with the principal goal of the task decision for phenomena detection and classification on a water surface. The methods and algorithms of cluster and discriminant analysis for the classification and qualitative interpretation of remote sensing data characterizing the water surface are considered. The problem of classification of aquatories using the remote sensing measurements is one of important among them. Various algorithms of the theory of images recognition, statistical decisions and cluster analysis are used to solve this problem. The mathematical model describing the background characteristics of water surface spottiness is proposed. Operative software for this model is realized. The results of the software application to the satellite data processing for the Atlantic and Pacific regions are given. |
Starting Page | 1723 |
Ending Page | 1725 |
File Size | 1048805 |
Page Count | 3 |
File Format | |
ISBN | 9781424412112 |
DOI | 10.1109/IGARSS.2007.4423150 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-07-23 |
Publisher Place | Spain |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Remote monitoring Data processing Clustering algorithms Algorithm design and analysis Computerized monitoring Automation Remote sensing Image recognition Image analysis Mathematical model spottiness geoinformation monitoring mathematical model classification statistical decisions |
Content Type | Text |
Resource Type | Article |
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