Edge Detection in Hyperspectral Images

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 pro...

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Veröffentlicht in:	Optoelectronics, instrumentation, and data processing instrumentation, and data processing, 2021-12, Vol.57 (6), p.618-625
Hauptverfasser:	Shipko, V. V., Samoilin, E. A., Pozhar, V. E., Machikhin, A. S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Lasers Optical Devices Optics Photonics Physics Physics and Astronomy
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	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.
ISSN:	8756-6990 1934-7944
DOI:	10.3103/S8756699021060145