INFORMATION EXTRACTION FROM MULTISPECTRAL SATELLITE IMAGES: INFORMATION EXTRACTION FROM MULTISPECTRAL SATELLITE IMAGES

Neli Zdravcheva

doi:10.46687/jsar.v24i1.364

Authors

Neli Zdravcheva UNIVERSITY OF ARCHITECTURE, CIVIL ENGINEERING AND GEODESY

DOI:

https://doi.org/10.46687/jsar.v24i1.364

Keywords:

multispectral images, synthesized images, vegetation cover, spectral indices, computer classifications

Abstract

The article analyzes various methods and approaches of modern remote sensing that can be used in the processing of multispectral satellite images in order to effectively extract visual information about territories for which preliminary data is not available. Attention is paid to the creation of new derivative images (synthesized and indexed) and to performing pixel-oriented computer non supervised classification. A series of experiments have been made that clearly reveal the advantages and conveniences of remote retrieval of information from multispectral satellite images in a territory for which reference objects and other data acquired in situ are not available.

Author Biography

Neli Zdravcheva, UNIVERSITY OF ARCHITECTURE, CIVIL ENGINEERING AND GEODESY

Neli Zdravcheva, e-mail: neli_z@abv.bg

UNIVERSITY OF ARCHITECTURE, CIVIL ENGINEERING AND GEODESY

References

Zdravcheva, N, Spectral transformations of multi-zone satellite images, International Jubilee Scientific Conference 75 years of UASG, November 2017

Zdravcheva, N., Application of Vegetation Indices, 25th International Symposium "Modern Technologies, Education and Professional Practice in Geodesy and Related Fields", 2017 30 JOURNAL SCIENTIFIC AND APPLIED RESEARCH Vol. 24, 2023

Tsarovska, Y., Types of images and vegetation indices, Geodesy Cartography Land Management Magazine, Issue 3-4, 2021 ISNN: 0324-1610

Tsarovska-Dincheva, Y., Photogrammetric and other remote methods for classification of road objects, "Geodesy, cartography land management" magazine, issue 3-4, 2022, ISNN: 0324-1610

Zdravcheva N. D, Hyperspectral environmental monitoring, IOP Conference Series: Materials Science and Engineering, EKO Varna 2019IOP Conf. Series: Materials Science and Engineering614 (2019) 012014IOP Publishing doi:10.1088/1757-899X/614/1/012014

INFORMATION EXTRACTION FROM MULTISPECTRAL SATELLITE IMAGES