Publicou 12 edições por ano
ISSN Imprimir: 1064-2315
ISSN On-line: 2163-9337
Indexed in
The Use of Geometrical Methods in Multispectral Image Processing
RESUMO
The information geometric model of multispectral images whose individual components are obtained in different spectral ranges of carrier radiation of video information at non-dotty correspondence of the object and the image caused by diffraction phenomena has been proposed. The proposed techniques allows one to restore position parameters of forming and wavelength of a spectral range for the fixation of analyzed image. The new combined invariants allow one to identify objects in a fuzzy scene without restoring or filtration.
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Safarov Alexander A., Features of the segmentation and classification of urban area photogrammetric images, 2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP), 2016. Crossref
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Shedlovska Y. I., Hnatushenko V. V., Shadow removal algorithm with shadow area border processing, 2016 II International Young Scientists Forum on Applied Physics and Engineering (YSF), 2016. Crossref
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Hnatushenko V.V., Kavats O.O., Kibukevych I.O., Efficiency determination of scanner data fusion methods of space multispectral images, 2015 International Young Scientists Forum on Applied Physics (YSF), 2015. Crossref
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Kashtan V. J., Hnatushenko V. V., Shedlovska Y. I., Processing technology of multispectral remote sensing images, 2017 IEEE International Young Scientists Forum on Applied Physics and Engineering (YSF), 2017. Crossref
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Hordiiuk D.M., Hnatushenko V.V., Neural network and local laplace filter methods applied to very high resolution remote sensing imagery in urban damage detection, 2017 IEEE International Young Scientists Forum on Applied Physics and Engineering (YSF), 2017. Crossref
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Hnatushenko Volodymyr, Zhernovyi Vadym, Method of Improving Instance Segmentation for Very High Resolution Remote Sensing Imagery Using Deep Learning, in Data Stream Mining & Processing, 1158, 2020. Crossref
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Hnatushenko Volodymyr, Hnatushenko Viktoriia, Recognition of High Dimensional Multi-Sensor Remote Sensing Data of Various Spatial Resolution, 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP), 2020. Crossref