Short wave infrared imaging spectrometer with simultaneous thermal imaging

2010 ◽  
Author(s):  
William R. Johnson ◽  
Daniel W. Wilson ◽  
Alejandro Diaz
2010 ◽  
Vol 30 (5) ◽  
pp. 1304-1307
Author(s):  
梁爽 Liang Shuang ◽  
安志勇 An Zhiyong ◽  
冯玉涛 Feng Yutao ◽  
于秋水 Yu Qiushui

2020 ◽  
Vol 57 (5) ◽  
pp. 053001
Author(s):  
郑志忠 Zheng Zhizhong ◽  
杨忠 Yang Zhong ◽  
秦远田 Qin Yuantian ◽  
王立国 Wang Liguo

2015 ◽  
Vol 23 (23) ◽  
pp. 29758 ◽  
Author(s):  
Zhoufeng Zhang ◽  
Bingliang Hu ◽  
Qinye Yin ◽  
Tao Yu ◽  
Siyuan Li ◽  
...  

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Andrea Ravagli ◽  
Christopher Craig ◽  
John Lincoln ◽  
Daniel W. Hewak

AbstractChalcogenide glasses are emerging as important enabling materials for low-cost infrared imaging by virtue of their transparency in the key short-wave infrared (SWIR) to long-wave infrared (LWIR) bands and the ability to be mass produced and molded into near-net shape lenses. In this paper, we introduce a new family of chalcogenide glasses, which offer visible as well as infrared transmission and improved thermal and mechanical properties. These glasses are based on Ga


2019 ◽  
Vol 114 (16) ◽  
pp. 161101 ◽  
Author(s):  
Mohsen Rezaei ◽  
Min-Su Park ◽  
Cobi Rabinowitz ◽  
Chee Leong Tan ◽  
Skylar Wheaton ◽  
...  

2018 ◽  
Vol 57 (34) ◽  
pp. F8
Author(s):  
Jianjun Chen ◽  
Jin Yang ◽  
Jianan Liu ◽  
Jianli Liu ◽  
Ci Sun ◽  
...  

2013 ◽  
Vol 52 (20) ◽  
pp. 4763 ◽  
Author(s):  
Ove Steinvall ◽  
Magnus Elmqvist ◽  
Tomas Chevalier ◽  
Ove Gustafsson

Geophysics ◽  
1991 ◽  
Vol 56 (9) ◽  
pp. 1432-1440 ◽  
Author(s):  
Simon J. Hook ◽  
Christopher D. Elvidge ◽  
Michael Rast ◽  
Hiroshi Watanabe

An evaluation was performed on SWIR (2000–2400 nm) data from two airborne remote sensing systems for discriminating and identifying alteration minerals at Cuprite, Nevada. The data were acquired by the NASA Airborne Visible/InfraRed Imaging Spectrometer (AVIRIS) and the GEOSCAN Mk II multispectral scanner. The evaluation involved comparison of processed imagery and image‐derived spectra with existing alteration maps and laboratory spectra of rock samples from Cuprite. Results indicate that both the AVIRIS and GEOSCAN data permit the discrimination of areas of alunite, buddingtonite, kaolinite, and silicification using color composite images formed from three SWIR bands processed with either the decorrelation stretch or a log residual algorithm. The laboratory spectral features of alunite, kaolinite and buddingtonite could be seen clearly only in the log residual processed AVIRIS data. However, this does not preclude their identification with the GEOSCAN data.


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