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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 47, Iss. 28 — Oct. 1, 2008
  • pp: F46–F60

Correction of systematic spatial noise in push-broom hyperspectral sensors: application to CHRIS/PROBA images

Luis Gómez-Chova, Luis Alonso, Luis Guanter, Gustavo Camps-Valls, Javier Calpe, and José Moreno  »View Author Affiliations


Applied Optics, Vol. 47, Issue 28, pp. F46-F60 (2008)
http://dx.doi.org/10.1364/AO.47.000F46


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Abstract

Hyperspectral remote sensing images are affected by different types of noise. In addition to typical random noise, nonperiodic partially deterministic disturbance patterns generally appear in the data. These patterns, which are intrinsic to the image formation process, are characterized by a high degree of spatial and spectral coherence. We present a new technique that faces the problem of removing the spatially coherent noise known as vertical striping, usually found in images acquired by push-broom sensors. The developed methodology is tested on data acquired by the Compact High Resolution Imaging Spectrometer (CHRIS) onboard the Project for On-board Autonomy (PROBA) orbital platform, which is a typical example of a push-broom instrument exhibiting a relatively high noise component. The proposed correction method is based on the hypothesis that the vertical disturbance presents higher spatial frequencies than the surface radiance. A technique to exclude the contribution of the spatial high frequencies of the surface from the destriping process is introduced. First, the performance of the proposed algorithm is tested on a set of realistic synthetic images with added modeled noise in order to quantify the noise reduction and the noise estimation accuracy. Then, algorithm robustness is tested on more than 350 real CHRIS images from different sites, several acquisition modes (different spatial and spectral resolutions), and covering the full range of possible sensor temperatures. The proposed algorithm is benchmarked against the CHRIS reference algorithm. Results show excellent rejection of the noise pattern with respect to the original CHRIS images, especially improving the removal in those scenes with a natural high contrast. However, some low-frequency components still remain. In addition, the developed correction model captures and corrects the dependency of the noise patterns on sensor temperature, which confirms the robustness of the presented approach.

© 2008 Optical Society of America

OCIS Codes
(030.1670) Coherence and statistical optics : Coherent optical effects
(030.4280) Coherence and statistical optics : Noise in imaging systems
(100.3020) Image processing : Image reconstruction-restoration
(110.4234) Imaging systems : Multispectral and hyperspectral imaging
(280.4788) Remote sensing and sensors : Optical sensing and sensors

ToC Category:
Hyperspectral Processing and Analysis

History
Original Manuscript: March 13, 2008
Revised Manuscript: June 12, 2008
Manuscript Accepted: June 12, 2008
Published: July 22, 2008

Citation
Luis Gómez-Chova, Luis Alonso, Luis Guanter, Gustavo Camps-Valls, Javier Calpe, and José Moreno, "Correction of systematic spatial noise in push-broom hyperspectral sensors: application to CHRIS/PROBA images," Appl. Opt. 47, F46-F60 (2008)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-47-28-F46

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