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

Dmitry k. Mozgovoy^1¹ 

[1] EOS, LLC, Heroiev Stalingrada Str. Dnipro, 49055, Ukraine^1

关键词: satellite monitoring;    multispectral images;    spectral indices;    image processing;    map updating;   

DOI  :  10.5194/isprs-annals-IV-3-167-2018

学科分类：地球科学(综合)

来源: Copernicus Publications

【 摘 要 】

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.

【 授权许可】

CC BY