Comparative analysis of algorithms for detecting structural changes in images

Algorithms are considered that solve the problem of detecting structural changes in multitemporal satellite images of the Earth’s surface. A computational method is formulated for comparing such algorithms; to this end, a special mathematical model of structural changes is introduced that allows one...

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Bibliographic Details
Published in:Pattern recognition and image analysis Vol. 25; no. 4; pp. 593 - 602
Main Author: Kornilov, F. A.
Format: Journal Article
Language:English
Published: Moscow Pleiades Publishing 01.10.2015
Springer Nature B.V
Subjects:
Algorithms
Analysis and Understanding of Images
Comparative analysis
Computer Science
Data compression
Image Processing and Computer Vision
Image processing systems
Mathematical models
Morphology
Pattern Recognition
Processing
Representation
Studies
image processing
mathematical morphology
structural changes
comparison of algorithms
Markov random fields
ISSN:1054-6618, 1555-6212
Online Access:Get full text
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Summary:Algorithms are considered that solve the problem of detecting structural changes in multitemporal satellite images of the Earth’s surface. A computational method is formulated for comparing such algorithms; to this end, a special mathematical model of structural changes is introduced that allows one to maximally approximate an experiment to real problems. Optimal parameters of operation of the algorithms are determined by this method, and the results of comparison of the performance of the algorithms are presented. Experiments on real data show that the algorithms proposed are suitable for practical application.
Bibliography:SourceType-Scholarly Journals-1
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ISSN:1054-6618
1555-6212
DOI:10.1134/S1054661815040124