Calibration issues and pre-processing chain of the TASI-600 airborne LWIR hyperspectral scanner

The paper presents some advanced techniques to improve the calibration and pre-processing of the TASI-600 thermal hyperspectral sensor acquired by the Italian National Research Council — Institute of Methodologies for Environmental Analysis (CNR-IMAA). TASI-600 sensor has 32 spectral bands in the 8.0–11.5 μm spectral range, with a swath of 600 pixels and an IFOV of 2 mrad. The sensor is provided with a custom Stirling Cycle cooled MCT detector (HgCdTe) specifically designed for the TASI-600 and the system includes licensed pre-processing software to radiometrically correct the data. Nevertheless, after the TASI became operative, there was evidence of some artifacts induced in the calibrated images by the preprocessing procedures. Among them, blinking pixels, calibration artifacts and sporadic striping noise required the development of dedicated correction procedures.

[1]  V. Cuomo,et al.  Deterioration status of asbestos-cement roofing sheets assessed by analyzing hyperspectral data , 2007 .

[2]  Pierre Weiss,et al.  Variational Algorithms to Remove Stationary Noise: Applications to Microscopy Imaging , 2012, IEEE Transactions on Image Processing.

[3]  Saïd Ladjal,et al.  Toward Optimal Destriping of MODIS Data Using a Unidirectional Variational Model , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[4]  B. Münch,et al.  Stripe and ring artifact removal with combined wavelet--Fourier filtering. , 2009, Optics express.

[5]  Angelo Palombo,et al.  Road Asphalt Pavements Analyzed by Airborne Thermal Remote Sensing: Preliminary Results of the Venice Highway , 2008, Sensors.

[6]  Michael E. Winter,et al.  Two years of operations of AHI: an LWIR hyperspectral imager , 2000, Defense, Security, and Sensing.

[7]  David W. Warren,et al.  LWIR/MWIR imaging hyperspectral sensor for airborne and ground-based remote sensing , 1996, Optics & Photonics.

[8]  Stefano Pignatti,et al.  An advanced tool of the CNR IMAA EO facilities: Overview of the TASI-600 hyperspectral thermal spectrometer , 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

[9]  Xiaoli Yu,et al.  Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution , 1990, IEEE Trans. Acoust. Speech Signal Process..

[10]  Liu Xiu New Dynamic Algorithm for IRFPA Bad Pixel Detection and Compensation Based on Statistics , 2009 .