Hyperspectral Image Classification

Citation

Zahisham, Zharfan and Lim, Kian Ming and Koo, Voon Chet (2022) Hyperspectral Image Classification. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

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Abstract

Hyperspectral Imaging – Collects visual information that are invisible to the human eyes (more bands than an RGB image) • Hyperspectral Image Classification – The task of classifying every pixel in a hyperspectral image • Applications: Plant disease detection, Biotechnology, etc.

Item Type: Conference or Workshop Item (Poster)
Uncontrolled Keywords: Images
Subjects: Q Science > QC Physics > QC350-467 Optics. Light
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 21 Dec 2022 03:06
Last Modified: 21 Dec 2022 03:06
URII: http://shdl.mmu.edu.my/id/eprint/10963

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