AUTOMATED RECOGNITION OF VEGETATION AND WATER BODIES ON THE TERRITORY OF MEGACITIES IN SATELLITE IMAGES OF VISIBLE AND IR BANDS

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 reso...

Full description

Bibliographic Details
Main Authors: D. k. Mozgovoy, V. V. Hnatushenko, V. V. Vasyliev
Format: Article
Language:English
Published: Copernicus Publications 2018-04-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-3/167/2018/isprs-annals-IV-3-167-2018.pdf
id doaj-58717be1c5c749e88530205f8348035c
record_format Article
spelling doaj-58717be1c5c749e88530205f8348035c2020-11-25T01:07:59ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502018-04-01IV-316717210.5194/isprs-annals-IV-3-167-2018AUTOMATED RECOGNITION OF VEGETATION AND WATER BODIES ON THE TERRITORY OF MEGACITIES IN SATELLITE IMAGES OF VISIBLE AND IR BANDSD. k. Mozgovoy0D. k. Mozgovoy1V. V. Hnatushenko2V. V. Hnatushenko3V. V. Vasyliev4V. V. Vasyliev5EOS, LLC, Heroiev Stalingrada Str. Dnipro, 49055, UkraineFaculty of Physics, Electronics and Computer Systems, 49010 Oles Honchar Dnipro National University, UkraineEOS, LLC, Heroiev Stalingrada Str. Dnipro, 49055, UkraineFaculty of Physics, Electronics and Computer Systems, 49010 Oles Honchar Dnipro National University, UkraineEOS, LLC, Heroiev Stalingrada Str. Dnipro, 49055, UkraineFaculty of Physics, Electronics and Computer Systems, 49010 Oles Honchar Dnipro National University, UkraineVegetation 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.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-3/167/2018/isprs-annals-IV-3-167-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author D. k. Mozgovoy
D. k. Mozgovoy
V. V. Hnatushenko
V. V. Hnatushenko
V. V. Vasyliev
V. V. Vasyliev
spellingShingle D. k. Mozgovoy
D. k. Mozgovoy
V. V. Hnatushenko
V. V. Hnatushenko
V. V. Vasyliev
V. V. Vasyliev
AUTOMATED RECOGNITION OF VEGETATION AND WATER BODIES ON THE TERRITORY OF MEGACITIES IN SATELLITE IMAGES OF VISIBLE AND IR BANDS
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet D. k. Mozgovoy
D. k. Mozgovoy
V. V. Hnatushenko
V. V. Hnatushenko
V. V. Vasyliev
V. V. Vasyliev
author_sort D. k. Mozgovoy
title AUTOMATED RECOGNITION OF VEGETATION AND WATER BODIES ON THE TERRITORY OF MEGACITIES IN SATELLITE IMAGES OF VISIBLE AND IR BANDS
title_short AUTOMATED RECOGNITION OF VEGETATION AND WATER BODIES ON THE TERRITORY OF MEGACITIES IN SATELLITE IMAGES OF VISIBLE AND IR BANDS
title_full AUTOMATED RECOGNITION OF VEGETATION AND WATER BODIES ON THE TERRITORY OF MEGACITIES IN SATELLITE IMAGES OF VISIBLE AND IR BANDS
title_fullStr AUTOMATED RECOGNITION OF VEGETATION AND WATER BODIES ON THE TERRITORY OF MEGACITIES IN SATELLITE IMAGES OF VISIBLE AND IR BANDS
title_full_unstemmed AUTOMATED RECOGNITION OF VEGETATION AND WATER BODIES ON THE TERRITORY OF MEGACITIES IN SATELLITE IMAGES OF VISIBLE AND IR BANDS
title_sort automated recognition of vegetation and water bodies on the territory of megacities in satellite images of visible and ir bands
publisher Copernicus Publications
series ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 2194-9042
2194-9050
publishDate 2018-04-01
description 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.
url https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-3/167/2018/isprs-annals-IV-3-167-2018.pdf
work_keys_str_mv AT dkmozgovoy automatedrecognitionofvegetationandwaterbodiesontheterritoryofmegacitiesinsatelliteimagesofvisibleandirbands
AT dkmozgovoy automatedrecognitionofvegetationandwaterbodiesontheterritoryofmegacitiesinsatelliteimagesofvisibleandirbands
AT vvhnatushenko automatedrecognitionofvegetationandwaterbodiesontheterritoryofmegacitiesinsatelliteimagesofvisibleandirbands
AT vvhnatushenko automatedrecognitionofvegetationandwaterbodiesontheterritoryofmegacitiesinsatelliteimagesofvisibleandirbands
AT vvvasyliev automatedrecognitionofvegetationandwaterbodiesontheterritoryofmegacitiesinsatelliteimagesofvisibleandirbands
AT vvvasyliev automatedrecognitionofvegetationandwaterbodiesontheterritoryofmegacitiesinsatelliteimagesofvisibleandirbands
_version_ 1725185008237281280