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040 |aCaOODSP|beng|erda|cCaOODSP
0411 |aeng|beng|bfre
043 |an-cn---
0861 |aDR52-18/57-1991E-PDF
1001 |aKlepko, Robert, |d1959- |eauthor.
24510|aClassification of SAR ship images with the aid of a syntactic pattern recognition algorithm / |cby Robert Klepko.
264 1|aOttawa : |bDefence Research Establishment Ottawa, |cJuly 1991.
300 |a1 online resource (xi, 20 pages) : |bcharts, illustrations.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |aDREO technical note ; |vno. 91-10
500 |aDigitized edition from print [produced by Defence Research and Development Canada].
504 |aIncludes bibliographical references (page 17).
520 |a"Synthetic Aperture Radar (SAR) systems have made possible the generation of radar images of ships with high enough resolution to allow numerous targets or scatterers to be visible. With the availability of numerous scatterers in one radar image, it is theoretically possible to identify the class of a ship. The SAR image of a ship is a function of the location of scatterers, the SAR system frequency, the radar-to-ship viewing angle, the amount and type of sea-induced ship motion, and the length of the aperture"--Abstract, page iii.
546 |aIncludes abstracts in English and French.
650 0|aSynthetic aperture radar.
650 0|aPattern recognition systems.
650 6|aRadar à synthèse d'ouverture.
650 6|aReconnaissance des formes (Informatique)
7102 |aDefence Research Establishment Ottawa, |eissuing body.
7101 |aCanada. |bDepartment of National Defence, |eissuing body.
830#0|aDREO technical note ;|vno. 91-10.|w(CaOODSP)9.941800
85640|qPDF|s1.20 MB|uhttps://publications.gc.ca/collections/collection_2024/rddc-drdc/DR52-18-57-1991-eng.pdf