@inproceedings{b7f53d07b4d545819eaf6c98eb994523,
title = "Biological sample evaluation using a line-scan based SWIR hyperspectral imaging system",
abstract = "A new line-scan hyperspectral imaging system was developed to enable short wavelength infrared (SWIR) imagery for biological sample evaluation. Critical sensing components include a SWIR imaging spectrograph and an HgCdTe (MCT) focal plane array detector. To date, agricultural applications of infrared hyperspectral imaging have been limited to the near-infrared spectral region up to 1700 nm. This new SWIR hyperspectral imaging system has extended the hyperspectral reflectance imaging capabilities up to 2500 nm for nondestructive evaluation of biological samples. This paper provides a detailed description of the newly developed SWIR hyperspectral imaging system. In addition, preliminary results for detection of melamine in milk powders using the new SWIR hyperspectral imaging system and a band ratio algorithm are presented.",
keywords = "Band ratio, Detection, Hyperspectral imaging, Melamine, Milk powder, Short wave infrared",
author = "Hong, \{Seok Min\} and Hoonsoo Lee and Insuck Baek and Mirae Oh and Kim, \{Moon S.\}",
year = "2016",
doi = "10.13031/aim.20162461739",
language = "English",
series = "2016 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2016",
publisher = "American Society of Agricultural and Biological Engineers",
booktitle = "2016 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2016",
address = "United States",
note = "2016 ASABE Annual International Meeting ; Conference date: 17-07-2016 Through 20-07-2016",
}