Short-wave infrared (SWIR) imaging spectrometer for remote sensing

1994 ◽  
Author(s):  
Neil Rowlands ◽  
Robert A. Neville ◽  
Ian P. Powell
Keyword(s):  
Remote Sensing ◽  
Short Wave ◽  
Imaging Spectrometer ◽  
Short Wave Infrared

Optical design of a short-wave infrared prism-grating imaging spectrometer

2018 ◽  
Vol 57 (34) ◽  
pp. F8
Author(s):  
Jianjun Chen ◽  
Jin Yang ◽  
Jianan Liu ◽  
Jianli Liu ◽  
Ci Sun ◽  
...  
Keyword(s):  
Optical Design ◽  
Short Wave ◽  
Imaging Spectrometer ◽  
Short Wave Infrared

An evaluation of short‐wave‐infrared (SWIR) data from the AVIRIS and GEOSCAN instruments for mineralogical mapping at Cuprite, Nevada

Geophysics ◽  
1991 ◽  
Vol 56 (9) ◽  
pp. 1432-1440 ◽  
Author(s):  
Simon J. Hook ◽  
Christopher D. Elvidge ◽  
Michael Rast ◽  
Hiroshi Watanabe
Keyword(s):  
Remote Sensing ◽  
Infrared Imaging ◽  
Short Wave ◽  
Spectral Features ◽  
Imaging Spectrometer ◽  
Sensing Systems ◽  
Alteration Minerals ◽  
Remote Sensing Systems ◽  
Residual Algorithm ◽  
Color Composite

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.

Short-wave infrared imaging technology on space optical remote sensing system

2017 ◽  
Author(s):  
Wei Jiang ◽  
Qiaolin Huang ◽  
Zhanping Zhao ◽  
Lingyan Gao ◽  
Shaoyuan Cheng
Keyword(s):  
Remote Sensing ◽  
Infrared Imaging ◽  
Short Wave ◽  
Optical Remote Sensing ◽  
Imaging Technology ◽  
Sensing System ◽  
Short Wave Infrared

Scenery Radiation Acquisition Features of Short-Wave Infrared Imaging Spectrometer

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
Keyword(s):  
Infrared Imaging ◽  
Short Wave ◽  
Imaging Spectrometer ◽  
Short Wave Infrared

Optical system of imaging spectrometer in short-wave infrared with high NA for precision agriculture observation

2018 ◽  
Vol 47 (12) ◽  
pp. 1218007
Author(s):  
于 磊 Yu Lei ◽  
陈素娟 Chen Sujuan ◽  
陈结祥 Chen Jiexiang ◽  
薛 辉 Xue Hui
Keyword(s):  
Optical System ◽  
Precision Agriculture ◽  
Short Wave ◽  
Imaging Spectrometer ◽  
Short Wave Infrared

Structure Analysis and Experiment of an Offner-Type Short-Wave Infrared Imaging Spectrometer

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
Keyword(s):  
Structure Analysis ◽  
Infrared Imaging ◽  
Short Wave ◽  
Imaging Spectrometer ◽  
Short Wave Infrared
Sign in / Sign up

Export Citation Format

Share Document