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Edge Detection in Hyperspectral Images

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Optoelectronics, Instrumentation and Data Processing Aims and scope

Abstract

Main approaches to object edge detection in hyperspectral images are considered. Algorithms are presented for the edge detection in spectral–selective objects based on spatial–spectral correlation and interspectral difference of gradients. The proposed algorithms are shown to be efficient in the processing of real hyperspectral images with additive Gaussian noise.

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Correspondence to V. V. Shipko.

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Translated by V. Arutyunyan

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Shipko, V.V., Samoilin, E.A., Pozhar, V.E. et al. Edge Detection in Hyperspectral Images. Optoelectron.Instrument.Proc. 57, 618–625 (2021). https://doi.org/10.3103/S8756699021060145

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  • DOI: https://doi.org/10.3103/S8756699021060145

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