Under consideration that the profiles of bands at close wavelengths are quite similar and the curvelets are good at capturing profiles,a junk band recovery algorithm for hyperspectral data based on curvelet transform ...Under consideration that the profiles of bands at close wavelengths are quite similar and the curvelets are good at capturing profiles,a junk band recovery algorithm for hyperspectral data based on curvelet transform is proposed.Both the noisy bands and the noise-free bands are transformed via curvelet band by band.The high frequency coefficients in junk bands are replaced with linear interpolation of the high frequency coefficients in noise-free bands,and the low frequency coefficients remain the same to keep the main spectral characteristics from being distorted.Junk bands then are recovered after the inverse curvelet transform.The performance of this method is tested on the hyperspectral data cube obtained by airborne visible/infrared imaging spectrometer (AVIRIS).The experimental results show that the proposed method is superior to the traditional denoising method BayesShrink and the art-of-state Curvelet Shrinkage in both roots of mean square error (RMSE) and peak-signal-to-noise ratio (PSNR) of recovered bands.展开更多
Chang’E-1(CE-1)Interference Imaging Spectrometer(IIM)dataset suffers from the weak response in the near infrared(NIR)bands,which are the important wavelength for retrieving the minerals and elements of the Moon.In th...Chang’E-1(CE-1)Interference Imaging Spectrometer(IIM)dataset suffers from the weak response in the near infrared(NIR)bands,which are the important wavelength for retrieving the minerals and elements of the Moon.In this paper,the cross-calibration was implemented to the IIM hyperspectral data for improving the weak response in NIR bands.The results show that the cross-calibrated IIM spectra were consistent to the Earth-based telescopic spectra,which suggests that the cross-calibration yields acceptable results.For further validating the influence of the cross-calibration on the FeO inversion and searching the optimal bands to retrieve lunar FeO contents,four band selection schemes were designed to retrieve FeO using the original and cross-calibrated IIM spectra.By comparing the distribution patterns and histograms of the IIM derived FeO contents with the Clementine derived FeO,the IIM 891 nm band after cross-calibration showed a higher accuracy in the FeO inversion,hence most useful for lunar FeO inversion.展开更多
基金Project(10871231) supported by the National Natural Science Foundation of China
文摘Under consideration that the profiles of bands at close wavelengths are quite similar and the curvelets are good at capturing profiles,a junk band recovery algorithm for hyperspectral data based on curvelet transform is proposed.Both the noisy bands and the noise-free bands are transformed via curvelet band by band.The high frequency coefficients in junk bands are replaced with linear interpolation of the high frequency coefficients in noise-free bands,and the low frequency coefficients remain the same to keep the main spectral characteristics from being distorted.Junk bands then are recovered after the inverse curvelet transform.The performance of this method is tested on the hyperspectral data cube obtained by airborne visible/infrared imaging spectrometer (AVIRIS).The experimental results show that the proposed method is superior to the traditional denoising method BayesShrink and the art-of-state Curvelet Shrinkage in both roots of mean square error (RMSE) and peak-signal-to-noise ratio (PSNR) of recovered bands.
基金supported by the National Basic Research Program of China (Grant No. 2010CB951603)Shanghai Science and Technology Support Program Special for EXPO (Grant No. 10DZ0581600)+2 种基金the Open Research Funding Program of KLGIS (Grant No. KLGIS2011A09)the National Natural Science Foundation of China (Grant No. 41172296)the Program for New Century Excellent Talents in University (Grant No. NCET-11-0242)
文摘Chang’E-1(CE-1)Interference Imaging Spectrometer(IIM)dataset suffers from the weak response in the near infrared(NIR)bands,which are the important wavelength for retrieving the minerals and elements of the Moon.In this paper,the cross-calibration was implemented to the IIM hyperspectral data for improving the weak response in NIR bands.The results show that the cross-calibrated IIM spectra were consistent to the Earth-based telescopic spectra,which suggests that the cross-calibration yields acceptable results.For further validating the influence of the cross-calibration on the FeO inversion and searching the optimal bands to retrieve lunar FeO contents,four band selection schemes were designed to retrieve FeO using the original and cross-calibrated IIM spectra.By comparing the distribution patterns and histograms of the IIM derived FeO contents with the Clementine derived FeO,the IIM 891 nm band after cross-calibration showed a higher accuracy in the FeO inversion,hence most useful for lunar FeO inversion.
