Heat effect on samples
Miko Viitakoski2022-05-19T11:19:48+03:00March 28th, 2022|Categories: Hyperspectral Imaging|Tags: Hyperspectral Imaging, Learning, theory|
Illumination sources
Miko Viitakoski2022-05-19T11:20:15+03:00March 28th, 2022|Categories: Hyperspectral Imaging|Tags: Hyperspectral Imaging, Learning, theory|
What to take into account when measuring transmittance?
Miko Viitakoski2022-05-19T11:20:24+03:00March 15th, 2022|Categories: Applications, Hyperspectral Imaging|Tags: FAQ, Hyperspectral Imaging, Learning, theory|
How much hyperspectral cameras see of your samples?
Harri Karppinen2022-05-19T11:23:24+03:00February 15th, 2021|Categories: Applications, Hyperspectral Imaging|Tags: FAQ, Hyperspectral Imaging, Learning, theory|
Smile and keystone
Harri Karppinen2022-05-19T11:23:32+03:00February 15th, 2021|Categories: Applications, Hyperspectral Imaging|Tags: FAQ, Hyperspectral Imaging, Learning, theory|
Hyperspectral Technology vs. RGB
Harri Karppinen2022-05-19T11:24:12+03:00December 16th, 2020|Categories: Applications, Food, Food quality, Hyperspectral Imaging, Industry, Sorting, Specim FX10 applications, Specim FX17 applications|Tags: Food production, Food quality, Hyperspectral Imaging, Industry, Learning, Machine Vision, NIR, theory, VNIR|