@inproceedings{9fa7e313a9ad498fbf8ef957544e7ff8,
title = "MCT-based SWIR hyperspectral imaging system for evaluation of biological samples",
abstract = "Hyperspectral imaging has been shown to be a powerful tool for nondestructive evaluation of biological samples. We recently developed a new line-scan-based shortwave infrared (SWIR) hyperspectral imaging system. Critical sensing components of the system include a SWIR spectrograph, an MCT (HgCdTe) array detector, and a custom-designed illumination source. The system has an effective imaging range from 900 nm to 2500 nm. In this paper, we present SWIR hyperspectral images of plant leaves and fruits, and preliminary SWIR image analysis results.",
keywords = "classification, detection, Hyperspectral, short wave infrared",
author = "Hong, \{Seok Min\} and Hoonsoo Lee and Insuck Baek and Kim, \{Moon S.\}",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; Sensing for Agriculture and Food Quality and Safety VIII ; Conference date: 20-04-2016 Through 21-04-2016",
year = "2016",
doi = "10.1117/12.2227177",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Kim, \{Moon S.\} and Chin, \{Bryan A.\} and Kuanglin Chao",
booktitle = "Sensing for Agriculture and Food Quality and Safety VIII",
address = "United States",
}