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

S. M. Borzov, A. O. Potaturkin, O. I. Potaturkin

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)321-328
Number of pages8
JournalOptoelectronics, Instrumentation and Data Processing
Volume51
Issue number4
DOIs
Publication statusPublished - 1 Jul 2015

Keywords

  • change detection
  • classification of images
  • remote sensing
  • selection of man-made areas
  • spectral and spatial (textural and structural) features

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