Publication Details

Category Text Publication
Reference Category Journals
DOI 10.3390/rs61111082
Title (Primary) Reduction of uncorrelated striping noise—applications for hyperspectral pushbroom acquisitions
Author Rogass, C.; Mielke, C.; Scheffler, D.; Boesche, N.K.; Lausch, A.; Lubitz, C.; Brell, M.; Spengler, D.; Eisele, A.; Segl, K.; Guanter, L.
Source Titel Remote Sensing
Year 2014
Department CLE
Volume 6
Issue 11
Page From 11082
Page To 11106
Language englisch
UFZ wide themes RU1;
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.
Persistent UFZ Identifier
Rogass, C., Mielke, C., Scheffler, D., Boesche, N.K., Lausch, A., Lubitz, C., Brell, M., Spengler, D., Eisele, A., Segl, K., Guanter, L. (2014):
Reduction of uncorrelated striping noise—applications for hyperspectral pushbroom acquisitions
Remote Sens. 6 (11), 11082 - 11106 10.3390/rs61111082