Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/103315
Title: Change detection algorithms analysis over radar images using a generating function
Authors: Dorosinsky, L. G.
Vinogradova, N. S.
Issue Date: 2020
Publisher: American Institute of Physics Inc.
Citation: Dorosinsky L. G. Change detection algorithms analysis over radar images using a generating function / L. G. Dorosinsky, N. S. Vinogradova. — DOI 10.1063/5.0027277 // AIP Conference Proceedings. — 2020. — Vol. 2293. — 140021.
Abstract: While solving different problems of space monitoring, the problem of determining the presence or absence of the small changes of the reflecting surface arises during the observation session. For reliable detection of such a situation, it is recommended to use a constellation of small satellites that form statistically independent radar images. In the paper, we investigate the algorithm for classification of the signals reflected from two surfaces with different values of scattering cross-section on the set of radar images. The analytical method and the statistical simulation method are investigated, and the behavior of probabilities is examined when the magnitude of changes on the surface are varies. The recommendations are given on the choice of the number of satellites for various characteristics of reflective surfaces. © 2020 American Institute of Physics Inc.. All rights reserved.
Keywords: CHANGE DETECTION
RADAR REMOTE SENSING
SCATTERING CROSS SECTION
STATISTICAL SIMULATION
URI: http://hdl.handle.net/10995/103315
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85097998175
PURE ID: 20391664
5b83c6ca-0da0-4839-8272-a967c0e13065
ISSN: 0094243X
ISBN: 9780735440258
DOI: 10.1063/5.0027277
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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