Study on the CO2 absorption features at short wave infrared with remote sensing technique

2011 ◽  
Author(s):  
Cailan Gong ◽  
Yong Hu
Keyword(s):  
Remote Sensing ◽  
Short Wave ◽  
Remote Sensing Technique ◽  
Short Wave Infrared ◽  
Absorption Features

Ammonium abundance and short-wave infrared absorption spectra of altered rocks

2020 ◽  
Vol 20 (4) ◽  
pp. 451-460
Author(s):  
Keiko Hattori ◽  
Anna Fonseca ◽  
Tabetha Sheppard
Keyword(s):  
Absorption Spectra ◽  
Nitrogen Isotope ◽  
Short Wave ◽  
Absorption Feature ◽  
Rock Composition ◽  
Content Type ◽  
Fine Grained ◽  
Supplementary Material ◽  
Short Wave Infrared ◽  
Absorption Features

Rhyolitic rocks hosting the El Zapote epithermal Ag deposit are pervasively altered and contain ammonium ranging from 290 to 1750 ppm. High ammonium values are found in samples containing abundant fine-grained illite. This fine-grained illite shows overall low ratios of K/(Al + Fe), likely due to ammonium substituting K+. Samples containing high ammonium, greater than 1000 ppm in the proximity of Ag-bearing veins, show distinct absorption features of ammonium in short-wave infrared (SWIR) absorption spectra. Samples containing ammonium ranging from 500 to 1000 ppm show mixed absorption signatures; some show prominent absorption features related to ammonium, whereas others have no recognizable features. There is no discernible absorption feature related to ammonium for samples containing less than 500 ppm NH4. The data suggest that SWIR spectroscopy is useful in locating the proximal areas to mineralization, but the extent of ammonium alteration is much larger than that identified by SWIR spectroscopy. Nitrogen isotope compositions of ammonium are similar to those of sedimentary rocks, suggesting that the source of ammonium in altered rhyolite is sedimentary basement rocks in the area.Supplementary material: bulk rock composition is available at https://doi.org/10.6084/m9.figshare.c.5015663

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

Short-wave infrared (SWIR) spectral imager based on Fabry-Perot interferometer for remote sensing

2014 ◽  
Author(s):  
Rami Mannila ◽  
Christer Holmlund ◽  
Harri J. Ojanen ◽  
Antti Näsilä ◽  
Heikki Saari
Keyword(s):  
Remote Sensing ◽  
Short Wave ◽  
Fabry Perot ◽  
Short Wave Infrared ◽  
Spectral Imager

scholarly journals Artificial Intelligence for Pigment Classification Task in the Short-Wave Infrared Range

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6150
Author(s):  
Emeline Pouyet ◽  
Tsveta Miteva ◽  
Neda Rohani ◽  
Laurence de Viguerie
Keyword(s):  
Treatment Approach ◽  
Short Wave ◽  
Data Cube ◽  
Infrared Range ◽  
Intrinsic Complexity ◽  
Short Wave Infrared ◽  
Absorption Features ◽  
Reference Samples ◽  
Historical Samples

Hyperspectral reflectance imaging in the short-wave infrared range (SWIR, “extended NIR”, ca. 1000 to 2500 nm) has proven to provide enhanced characterization of paint materials. However, the interpretation of the results remains challenging due to the intrinsic complexity of the SWIR spectra, presenting both broad and narrow absorption features with possible overlaps. To cope with the high dimensionality and spectral complexity of such datasets acquired in the SWIR domain, one data treatment approach is tested, inspired by innovative development in the cultural heritage field: the use of a pigment spectral database (extracted from model and historical samples) combined with a deep neural network (DNN). This approach allows for multi-label pigment classification within each pixel of the data cube. Conventional Spectral Angle Mapping and DNN results obtained on both pigment reference samples and a Buddhist painting (thangka) are discussed.

Field trial of active remote sensing using a high-power short-wave infrared supercontinuum laser

2013 ◽  
Vol 52 (27) ◽  
pp. 6813 ◽  
Author(s):  
Vinay V. Alexander ◽  
Zhennan Shi ◽  
Mohammed N. Islam ◽  
Kevin Ke ◽  
Galina Kalinchenko ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Power ◽  
Field Trial ◽  
Short Wave ◽  
Supercontinuum Laser ◽  
Short Wave Infrared
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