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...
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Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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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 |
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