Image registration software data correction algorithm for hyperspectral imager

Pradip Mainali; Gauthier Lafruit; Shuyang Liu; Klaas Tack; Bart Masschelein; Luc Van Gool; Rudy Lauwereins

doi:10.1117/12.980256

Translator Disclaimer

18 December 2012 Image registration software data correction algorithm for hyperspectral imager

Pradip Mainali, Gauthier Lafruit, Shuyang Liu, Klaas Tack, Bart Masschelein, Luc Van Gool, Rudy Lauwereins

Author Affiliations +

Proceedings Volume 8550, Optical Systems Design 2012; 85501Z (2012) https://doi.org/10.1117/12.980256
Event: SPIE Optical Systems Design, 2012, Barcelona, Spain

Abstract

In this paper we present a technique to accurately build a 3D hyperspectral image cube from a 2D imager overlaid with a wedge filter with up to hundreds of spectral bands, providing time-multiplexed data through scanning. The correctness of the spectral curve of each pixel in the physical scene, being the combination of its spectral information captured over different time stamps, is directly related to the alignment accuracy and scanning sensitivity. To overcome the accumulated alignment errors from scanning inaccuracies, frequency- dependent scaling from lens, spectral band separations and the imager’s spectral filter technology limitations, we have designed a new image alignment algorithm based on Random Sample Consensus (RANSAC) model fitting. It estimates many mechanical and optical system model parameters with image feature matching over the spectral bands, ensuring high immunity against the spectral reflectance variations, noise, motion-blur, blur etc. The estimated system model parameters are used to align the images captured over different bands in the 3D hypercube, reducing the average alignment error to 0.5 pixels, much below the alignment error obtained with state-of-the-art techniques. The image feature correspondences between the images in different bands of the same object are consistently produced, resulting in a hardware-software co-designed hyperspectral imager system, conciliating high quality and correct spectral curve responses with low-cost.

Citation Download Citation

Pradip Mainali, Gauthier Lafruit, Shuyang Liu, Klaas Tack, Bart Masschelein, Luc Van Gool, and Rudy Lauwereins "Image registration software data correction algorithm for hyperspectral imager", Proc. SPIE 8550, Optical Systems Design 2012, 85501Z (18 December 2012); https://doi.org/10.1117/12.980256

ACCESS THE FULL ARTICLE

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

SHARE

GET CITATION

KEYWORDS

Image registration

Imaging systems

Hyperspectral imaging

Image quality

Sensors

Data corrections

Image sensors

Show All Keywords

Keywords/Phrases

Search In:

Publication Years