Wavelength calibration of imaging spectrometer using atmospheric absorption features

2012 ◽  
Author(s):  
Jiankang Zhou ◽  
Yuheng Chen ◽  
Xinhua Chen ◽  
Yiqun Ji ◽  
Weimin Shen
Keyword(s):  
Atmospheric Absorption ◽  
Imaging Spectrometer ◽  
Wavelength Calibration ◽  
Absorption Features

Wavelength calibration and spectral line bending determination of an imaging spectrometer

2009 ◽  
Author(s):  
Yuheng Chen ◽  
Yiqun Ji ◽  
Jiankang Zhou ◽  
Xinhua Chen ◽  
XiaoXiao Wei ◽  
...  
Keyword(s):  
Spectral Line ◽  
Imaging Spectrometer ◽  
Wavelength Calibration

scholarly journals Iterative local Fourier transform-based high-accuracy wavelength calibration for Fourier transform imaging spectrometer

2020 ◽  
Vol 28 (4) ◽  
pp. 5768
Author(s):  
Yixuan Xu ◽  
Jianxin Li ◽  
Caixun Bai ◽  
Ming Wei ◽  
Jie Liu ◽  
...  
Keyword(s):  
Fourier Transform ◽  
High Accuracy ◽  
Imaging Spectrometer ◽  
Wavelength Calibration

scholarly journals Entropy-Mediated Decision Fusion for Remotely Sensed Image Classification

2019 ◽  
Vol 11 (3) ◽  
pp. 352 ◽  
Author(s):  
Baofeng Guo
Keyword(s):  
Infrared Imaging ◽  
Remotely Sensed ◽  
Decision Fusion ◽  
Classification Performance ◽  
Final Decision ◽  
Imaging Spectrometer ◽  
Remotely Sensed Image ◽  
Hyperspectral Signatures ◽  
Absorption Features ◽  
Fusion Approach

To better classify remotely sensed hyperspectral imagery, we study hyperspectral signatures from a different view, in which the discriminatory information is divided as reflectance features and absorption features, respectively. Based on this categorization, we put forward an information fusion approach, where the reflectance features and the absorption features are processed by different algorithms. Their outputs are considered as initial decisions, and then fused by a decision-level algorithm, where the entropy of the classification output is used to balance between the two decisions. The final decision is reached by modifying the decision of the reflectance features via the results of the absorption features. Simulations are carried out to assess the classification performance based on two AVIRIS (Airborne Visible/Infrared Imaging Spectrometer) hyperspectral datasets. The results show that the proposed method increases the classification accuracy against the state-of-the-art methods.

Characterization of fine resolution field spectrometers using solar Fraunhofer lines and atmospheric absorption features

2010 ◽  
Vol 49 (15) ◽  
pp. 2858 ◽  
Author(s):  
Michele Meroni ◽  
Lorenzo Busetto ◽  
Luis Guanter ◽  
Sergio Cogliati ◽  
Giovanni Franco Crosta ◽  
...  
Keyword(s):  
Atmospheric Absorption ◽  
Fine Resolution ◽  
Absorption Features

scholarly journals Use of Imaging Spectroscopy for Mapping and Quantifying the Weathering Degree of Tropical Soils in Central Brazil

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Gustavo M. M. Baptista ◽  
Rodrigo S. Corrêa ◽  
Perseu F. dos Santos ◽  
José S. Madeira Netto ◽  
Paulo R. Meneses
Keyword(s):  
Infrared Imaging ◽  
Imaging Spectroscopy ◽  
Tropical Soils ◽  
Gravimetric Analysis ◽  
Spectral Absorption ◽  
Imaging Spectrometer ◽  
Central Brazil ◽  
Weathering Degree ◽  
Brazilian Soils ◽  
Absorption Features

The purpose of this study was to test the feasibility of applying AVIRIS sensor (Airborne Visible/InfraRed Imaging Spectrometer) for mapping and quantifying mineralogical components of three Brazilian soils, a reddish Oxisol in São João D'Aliança area (SJA) and a dark reddish brown Oxisol and Ultisol in Niquelândia (NIQ) counties, Goiás State. The study applied the spectral index RCGb [kaolinite/(kaolinite + gibbsite) ratio] and was based on spectral absorption features of these two minerals.The RCGb index was developed for the evaluation of weathering degrees of various Brazilian soils and was validated by the analysis of soil samples spectra imaged by AVIRIS and checked against laboratory mineralogical quantification (TGA:Thermal Gravimetric Analysis). Results showed to be possible mapping and quantifying the weathering degree of the studied soils and that the two selected areas presented different weathering degrees of their soils even for a same soil type.

scholarly journals Quantification and mitigation of the impact of scene inhomogeneity on Sentinel-4 UVN UV-VIS retrievals

2012 ◽  
Vol 5 (2) ◽  
pp. 2043-2075
Author(s):  
S. Noël ◽  
K. Bramstedt ◽  
H. Bovensmann ◽  
J. P. Burrows ◽  
C. Standfuss ◽  
...  
Keyword(s):  
Optimal Estimation ◽  
Maximum Error ◽  
The Other ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Imaging Spectrometer ◽  
Wavelength Calibration ◽  
Data Products ◽  
Tropospheric O3 ◽  
The Impact

Abstract. The quality of trace gas products derived from measurements of a space-borne imaging spectrometer is affected by the inhomogeneity of the illumination of the instrument slit and thus by the heterogeneity of the observed scene. This paper aims to quantify this effect and summarise findings on how to mitigate the impact of inhomogeneous slit illumination on tropospheric O3, NO2, SO2 and HCHO columns derived from measurements of the Sentinel-4 UVN imaging spectrometer. For this purpose, spectra for inhomogeneous ground scenes have been simulated based on a combination of a radiative transfer model and spatially high resolved MODIS (Moderate Resolution Imaging Spectroradiometer) data. The resulting errors on tropospheric O3, NO2, SO2 and HCHO columns derived from these spectra have been determined via an optimal estimation approach. It could be concluded that inhomogeneous illumination results in significant errors in the data products if the natural inhomogeneity of the observed scenes is not accounted for. O3 columns are less affected than the other data products; largest errors occur for NO2 (mean absolute errors about 5%, maximum error exceeding 50%). These errors may be significantly reduced (by factors up to >10) by an appropriate wavelength calibration applied individually to each Earthshine radiance spectrum. With wavelength calibration the estimated mean absolute errors due to inhomogeneity are for all gases well below 1%; maximum errors are about 10% for NO2 and around 5% for the other gases.

scholarly journals Comparison and analysis of wavelength calibration methods for prism – Grating imaging spectrometer

2019 ◽  
Vol 12 ◽  
pp. 143-146
Author(s):  
Ci Sun ◽  
Mingjia Wang ◽  
Jicheng Cui ◽  
Xuefeng Yao ◽  
Jianjun Chen
Keyword(s):  
Imaging Spectrometer ◽  
Wavelength Calibration ◽  
Calibration Methods ◽  
Comparison And Analysis

Wavelength calibration of an imaging spectrometer based on Savart interferometer

2017 ◽  
Vol 398 ◽  
pp. 24-30 ◽  
Author(s):  
Qiwei Li ◽  
Chunmin Zhang ◽  
Tingyu Yan ◽  
Naicheng Quan ◽  
Yutong Wei ◽  
...  
Keyword(s):  
Imaging Spectrometer ◽  
Wavelength Calibration
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