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Remote Sens. 2014, 6(11), 11082-11106; doi:10.3390/rs61111082

Reduction of Uncorrelated Striping Noise—Applications for Hyperspectral Pushbroom Acquisitions

1
Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, Potsdam 14473, Germany
2
Helmholtz Center for Environmental Research-UFZ, Permoserstr 15, Leipzig 04318, Germany
*
Author to whom correspondence should be addressed.
Received: 5 September 2014 / Revised: 30 October 2014 / Accepted: 4 November 2014 / Published: 11 November 2014
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Abstract

Hyperspectral images are of increasing importance in remote sensing applications. Imaging spectrometers provide semi-continuous spectra that can be used for physics based surface cover material identification and quantification. Preceding radiometric calibrations serve as a basis for the transformation of measured signals into physics based units such as radiance. Pushbroom sensors collect incident radiation by at least one detector array utilizing the photoelectric effect. Temporal variations of the detector characteristics that differ with foregoing radiometric calibration cause visually perceptible along-track stripes in the at-sensor radiance data that aggravate succeeding image-based analyses. Especially, variations of the thermally induced dark current dominate and have to be reduced. In this work, a new approach is presented that efficiently reduces dark current related stripe noise. It integrates an across-effect gradient minimization principle. The performance has been evaluated using artificially degraded whiskbroom (reference) and real pushbroom acquisitions from EO-1 Hyperion and AISA DUAL that are significantly covered by stripe noise. A set of quality indicators has been used for the accuracy assessment. They clearly show that the new approach outperforms a limited set of tested state-of-the-art approaches and achieves a very high accuracy related to ground-truth for selected tests. It may substitute recent algorithms in the Reduction of Miscalibration Effects (ROME) framework that is broadly used to reduce radiometric miscalibrations of pushbroom data takes. View Full-Text
Keywords: stripes; hyperspectral; dark current; pushbroom; calibration; radiometric; EO-1 Hyperion; AISA; EnMAP; ROME stripes; hyperspectral; dark current; pushbroom; calibration; radiometric; EO-1 Hyperion; AISA; EnMAP; ROME
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Rogass, C.; Mielke, C.; Scheffler, D.; Boesche, N.K.; Lausch, A.; Lubitz, C.; Brell, M.; Spengler, D.; Eisele, A.; Segl, K.; Guanter, L. Reduction of Uncorrelated Striping Noise—Applications for Hyperspectral Pushbroom Acquisitions. Remote Sens. 2014, 6, 11082-11106.

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