ОЦЕНКА ВОЗМОЖНОСТИ ПРИМЕНЕНИЯ СИНГУЛЯРНЫХ ЧИСЕЛ ДЛЯ КЛАССИФИКАЦИИ ЦИФРОВЫХ ИЗОБРАЖЕНИЙ ПЛОЩАДНЫХ ОБЪЕКТОВ ЗЕМНОЙ ПОВЕРХНОСТИ

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ОЦЕНКА ВОЗМОЖНОСТИ ПРИМЕНЕНИЯ СИНГУЛЯРНЫХ ЧИСЕЛ ДЛЯ КЛАССИФИКАЦИИ ЦИФРОВЫХ ИЗОБРАЖЕНИЙ ПЛОЩАДНЫХ ОБЪЕКТОВ ЗЕМНОЙ ПОВЕРХНОСТИ. / Simineev, A. A.; Pozdnyakova, N. A.; Tarasova, E. I.

In: ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. СЕРИЯ 7: ГЕОЛОГИЯ, ГЕОГРАФИЯ, Vol. 2013, No. 4, 2013, p. 162-167.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{ce1bd254c93a4b4294492d8f9bcf3da1,

title = "ОЦЕНКА ВОЗМОЖНОСТИ ПРИМЕНЕНИЯ СИНГУЛЯРНЫХ ЧИСЕЛ ДЛЯ КЛАССИФИКАЦИИ ЦИФРОВЫХ ИЗОБРАЖЕНИЙ ПЛОЩАДНЫХ ОБЪЕКТОВ ЗЕМНОЙ ПОВЕРХНОСТИ",

abstract = "Th e article discusses the possibility to use singular values to classify areal objects according to their appearance on the Landsat-7 digital images made in panchromatic, green, red, and infrared light ranges. It is proposed to use the parameters of a0 and a1 straight lines that approximate singular values of gray level matrices as a characteristic that allows classifying the images of areal objects. Methods of object identification has been worked out by using a test object that resulted in verification of control objects. For this purpose, there were used the images of water surface of Irtysh river, built-up territories of the city of Khanty-Mansiysk, as well as forests and marshes. It is shown that a field of characteristics of the objects considered represents nonoverlapping enclosed areas, and does not depend on changes of general background of the images.",

keywords = "Approximation, Decoding, Digital image, Identification, Image classification, Parameters, Singular values",

author = "Simineev, {A. A.} and Pozdnyakova, {N. A.} and Tarasova, {E. I.}",

year = "2013",

language = "русский",

volume = "2013",

pages = "162--167",

journal = "Вестник Санкт-Петербургского университета. Науки о Земле",

issn = "2541-9668",

publisher = "Издательство Санкт-Петербургского университета",

number = "4",

}

RIS

TY - JOUR

T1 - ОЦЕНКА ВОЗМОЖНОСТИ ПРИМЕНЕНИЯ СИНГУЛЯРНЫХ ЧИСЕЛ ДЛЯ КЛАССИФИКАЦИИ ЦИФРОВЫХ ИЗОБРАЖЕНИЙ ПЛОЩАДНЫХ ОБЪЕКТОВ ЗЕМНОЙ ПОВЕРХНОСТИ

AU - Simineev, A. A.

AU - Pozdnyakova, N. A.

AU - Tarasova, E. I.

PY - 2013

Y1 - 2013

N2 - Th e article discusses the possibility to use singular values to classify areal objects according to their appearance on the Landsat-7 digital images made in panchromatic, green, red, and infrared light ranges. It is proposed to use the parameters of a0 and a1 straight lines that approximate singular values of gray level matrices as a characteristic that allows classifying the images of areal objects. Methods of object identification has been worked out by using a test object that resulted in verification of control objects. For this purpose, there were used the images of water surface of Irtysh river, built-up territories of the city of Khanty-Mansiysk, as well as forests and marshes. It is shown that a field of characteristics of the objects considered represents nonoverlapping enclosed areas, and does not depend on changes of general background of the images.

AB - Th e article discusses the possibility to use singular values to classify areal objects according to their appearance on the Landsat-7 digital images made in panchromatic, green, red, and infrared light ranges. It is proposed to use the parameters of a0 and a1 straight lines that approximate singular values of gray level matrices as a characteristic that allows classifying the images of areal objects. Methods of object identification has been worked out by using a test object that resulted in verification of control objects. For this purpose, there were used the images of water surface of Irtysh river, built-up territories of the city of Khanty-Mansiysk, as well as forests and marshes. It is shown that a field of characteristics of the objects considered represents nonoverlapping enclosed areas, and does not depend on changes of general background of the images.

KW - Approximation

KW - Decoding

KW - Digital image

KW - Identification

KW - Image classification

KW - Parameters

KW - Singular values

UR - http://www.scopus.com/inward/record.url?scp=85044770699&partnerID=8YFLogxK

M3 - статья

VL - 2013

SP - 162

EP - 167

JO - Вестник Санкт-Петербургского университета. Науки о Земле

JF - Вестник Санкт-Петербургского университета. Науки о Земле

SN - 2541-9668

IS - 4

ER -

ID: 5797396