A multidimensional approach for striping noise compensation in hyperspectral imaging devices

Pablo Meza; Francisca Parra; Sergio N. Torres; Jorge E. Pezoa; Pablo Coelho

doi:10.1117/12.892246

16 September 2011 A multidimensional approach for striping noise compensation in hyperspectral imaging devices

Pablo Meza, Francisca Parra, Sergio N. Torres, Jorge E. Pezoa, Pablo Coelho

Proceedings Volume 8155, Infrared Sensors, Devices, and Applications; and Single Photon Imaging II; 81550I (2011) https://doi.org/10.1117/12.892246
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

Abstract

Algorithms for striping noise compensation (SNC) for push-broom hyperspectral cameras (PBHCs) are primarily based on image processing techniques. These algorithms rely on the spatial and temporal information available at the readout data; however, they disregard the large amount of spectral information also available at the data. In this paper such flaw has been tackled and a multidimensional approach for SNC is proposed. The main assumption of the proposed approach is the short-term stationary behavior of the spatial, spectral, and temporal input information. This assumption is justified after analyzing the optoelectronic sampling mechanism carried out by PBHCs. Namely, when the wavelength-resolution of hyperspectral cameras is high enough with respect to the target application, the spectral information at neighboring photodetectors in adjacent spectral bands can be regarded as a stationary input. Moreover, when the temporal scanning of hyperspectral information is fast enough, consecutive temporal and spectral data samples can also be regarded as a stationary input at a single photodetector. The strength and applicability of the multidimensional approach presented here is illustrated by compensating for stripping noise real hyperspectral images. To this end, a laboratory prototype, based on a Photonfocus Hurricane hyperspectral camera, has been implemented to acquire data in the range of 400-1000 [nm], at a wavelength resolution of 1.04 [nm]. A mobile platform has been also constructed to simulate and synchronize the scanning procedure of the camera. Finally, an image-processing-based SNC algorithm has been extended yielding an approach that employs all the multidimensional information collected by the camera.

Citation Download Citation

Pablo Meza, Francisca Parra, Sergio N. Torres, Jorge E. Pezoa, and Pablo Coelho "A multidimensional approach for striping noise compensation in hyperspectral imaging devices", Proc. SPIE 8155, Infrared Sensors, Devices, and Applications; and Single Photon Imaging II, 81550I (16 September 2011); https://doi.org/10.1117/12.892246

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