Standard

Change detection in build-up areas on the basis of structural features of satellite images. / Borzov, S. M.; Potaturkin, A. O.; Potaturkin, O. I.

In: Optoelectronics, Instrumentation and Data Processing, Vol. 51, No. 4, 01.07.2015, p. 321-328.

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

Harvard

Borzov, SM, Potaturkin, AO & Potaturkin, OI 2015, 'Change detection in build-up areas on the basis of structural features of satellite images', Optoelectronics, Instrumentation and Data Processing, vol. 51, no. 4, pp. 321-328. https://doi.org/10.3103/S8756699015040019

APA

Borzov, S. M., Potaturkin, A. O., & Potaturkin, O. I. (2015). Change detection in build-up areas on the basis of structural features of satellite images. Optoelectronics, Instrumentation and Data Processing, 51(4), 321-328. https://doi.org/10.3103/S8756699015040019

Vancouver

Borzov SM, Potaturkin AO, Potaturkin OI. Change detection in build-up areas on the basis of structural features of satellite images. Optoelectronics, Instrumentation and Data Processing. 2015 Jul 1;51(4):321-328. doi: 10.3103/S8756699015040019

Author

Borzov, S. M. ; Potaturkin, A. O. ; Potaturkin, O. I. / Change detection in build-up areas on the basis of structural features of satellite images. In: Optoelectronics, Instrumentation and Data Processing. 2015 ; Vol. 51, No. 4. pp. 321-328.

BibTeX

@article{e16869892e3f468c9b939e35f7d3991c,
title = "Change detection in build-up areas on the basis of structural features of satellite images",
abstract = "It is shown that spatial structural features based on determining the maximum angle within which each pixel has a neighborhood that is not shadowed by other pixels of the contour provide the best efficiency in detecting man-made areas in satellite images of moderate resolution. A combined method of detection of build-up area expansion on the basis of multispectral data provided by the SPOT-4 satellite is proposed and demonstrated. This method implies the formation (with allowance for chosen features) of spatial masks of man-made objects in the reference (earlier taken) image and natural zones of the tested (later taken) image, searching for spectral-temporal anomalies, and sequential masking of selected pixels with the use of masks being formed.",
keywords = "change detection, classification of images, remote sensing, selection of man-made areas, spectral and spatial (textural and structural) features",
author = "Borzov, {S. M.} and Potaturkin, {A. O.} and Potaturkin, {O. I.}",
year = "2015",
month = jul,
day = "1",
doi = "10.3103/S8756699015040019",
language = "English",
volume = "51",
pages = "321--328",
journal = "Optoelectronics, Instrumentation and Data Processing",
issn = "8756-6990",
publisher = "Allerton Press Inc.",
number = "4",

}

RIS

TY - JOUR

T1 - Change detection in build-up areas on the basis of structural features of satellite images

AU - Borzov, S. M.

AU - Potaturkin, A. O.

AU - Potaturkin, O. I.

PY - 2015/7/1

Y1 - 2015/7/1

N2 - It is shown that spatial structural features based on determining the maximum angle within which each pixel has a neighborhood that is not shadowed by other pixels of the contour provide the best efficiency in detecting man-made areas in satellite images of moderate resolution. A combined method of detection of build-up area expansion on the basis of multispectral data provided by the SPOT-4 satellite is proposed and demonstrated. This method implies the formation (with allowance for chosen features) of spatial masks of man-made objects in the reference (earlier taken) image and natural zones of the tested (later taken) image, searching for spectral-temporal anomalies, and sequential masking of selected pixels with the use of masks being formed.

AB - It is shown that spatial structural features based on determining the maximum angle within which each pixel has a neighborhood that is not shadowed by other pixels of the contour provide the best efficiency in detecting man-made areas in satellite images of moderate resolution. A combined method of detection of build-up area expansion on the basis of multispectral data provided by the SPOT-4 satellite is proposed and demonstrated. This method implies the formation (with allowance for chosen features) of spatial masks of man-made objects in the reference (earlier taken) image and natural zones of the tested (later taken) image, searching for spectral-temporal anomalies, and sequential masking of selected pixels with the use of masks being formed.

KW - change detection

KW - classification of images

KW - remote sensing

KW - selection of man-made areas

KW - spectral and spatial (textural and structural) features

UR - http://www.scopus.com/inward/record.url?scp=84944064016&partnerID=8YFLogxK

U2 - 10.3103/S8756699015040019

DO - 10.3103/S8756699015040019

M3 - Article

AN - SCOPUS:84944064016

VL - 51

SP - 321

EP - 328

JO - Optoelectronics, Instrumentation and Data Processing

JF - Optoelectronics, Instrumentation and Data Processing

SN - 8756-6990

IS - 4

ER -

ID: 25326201