Wavelength and texture feature selection for hyperspectral imaging: a systematic literature review

Research output: Contribution to journal › Review

56 Citations (Web of Science)

Original language	English
Number of pages	26
Journal	Journal of Food Measurement and Characterization
Volume	17
Issue number	6
Early online date	Aug 2023
DOIs	https://doi.org/10.1007/s11694-023-02044-x
Publication status	Published - Dec 2023

Branches of science

@article{1d7782dfa021407abfd881cdc7bc27aa,

title = "Wavelength and texture feature selection for hyperspectral imaging: a systematic literature review",

author = "M Rogers and J Blanc-Talon and Martin Urschler and P Delmas",

year = "2023",

month = dec,

doi = "10.1007/s11694-023-02044-x",

language = "English",

volume = "17",

journal = "Journal of Food Measurement and Characterization",

issn = "2193-4126",

publisher = "Springer Science + Business Media",

number = "6",

}

TY - JOUR

T1 - Wavelength and texture feature selection for hyperspectral imaging: a systematic literature review

AU - Rogers, M

AU - Blanc-Talon, J

AU - Urschler, Martin

AU - Delmas, P

PY - 2023/12

Y1 - 2023/12

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:001050426700001

U2 - 10.1007/s11694-023-02044-x

DO - 10.1007/s11694-023-02044-x

M3 - Review

SN - 2193-4126

VL - 17

JO - Journal of Food Measurement and Characterization

JF - Journal of Food Measurement and Characterization

IS - 6

ER -