Processing technology of multispectral remote sensing images

Kashtan, Vita; Hnatushenko, Volodymyr; Shedlovska, Y. I.

doi:10.1109/ysf.2017.8126647

Cited by 8 publications

(1 citation statement)

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“…At present, control of anthropogenic changes in vegetation and water bodies of large cities is one of the most important and urgent tasks of ecological monitoring of mega-cities all over the world. Ensuring the sustainable development of densely populated areas at an extremely high rate of urban infrastructure development is impossible without obtaining regular and reliable information about the current state and dynamics of changes in all types of objects, including vegetation and water bodies (Di, 2017, Hnatushenko, 2017a, 2017b, Kashtan, 2017, Mozgovoy, 2016. For regular updating of databases of spatial information, when actualizing maps of megacities, the data of ground measurements and aerial photographs were traditionally used.…”

Section: Introductionmentioning

confidence: 99%

Automated Recognition of Vegetation and Water Bodies on the Territory of Megacities in Satellite Images of Visible and Ir Bands

Mozgovoy

Hnatushenko

Vasyliev

2018

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Vegetation and water bodies are a fundamental element of urban ecosystems, and water mapping is critical for urban and landscape planning and management. A methodology of automated recognition of vegetation and water bodies on the territory of megacities in satellite images of sub-meter spatial resolution of the visible and IR bands is proposed. By processing multispectral images from the satellite SuperView-1A, vector layers of recognized plant and water objects were obtained. Analysis of the results of image processing showed a sufficiently high accuracy of the delineation of the boundaries of recognized objects and a good separation of classes. The developed methodology provides a significant increase of the efficiency and reliability of updating maps of large cities while reducing financial costs. Due to the high degree of automation, the proposed methodology can be implemented in the form of a geo-information web service functioning in the interests of a wide range of public services and commercial institutions.

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Section: Introductionmentioning

confidence: 99%