Research of spectral curvature correction method for hyperspectral images

Lin Li; Yong Hu; Yueming Wang

doi:10.1117/12.900687

8 September 2011 Research of spectral curvature correction method for hyperspectral images

Lin Li, Yong Hu, Yueming Wang

Author Affiliations +

Proceedings Volume 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications; 819331 (2011) https://doi.org/10.1117/12.900687
Event: International Symposium on Photoelectronic Detection and Imaging 2011, 2011, Beijing, China

Abstract

The hyperspectral imager is able to acquire space and spectral information of ground object simultaneously. When using a prism splitting mode, different wavelengths of light will disperse nonlinearly in spectral dimension after going through the slit and the prism. Due to the longer slit and different angles of incidence, when going through the slit and the prism, the same wavelength of light will curve in space dimension. For SWIR bands, the maximum shift is more than 1.5 bandwidth. The shift cannot be ignored, for is alters the pixel spectral and reduces match accuracies between space and spectral information. In this paper, a correction method of non-uniform spectral radiance in hyperspectral image is put forward. First, the laboratory spectral calibration is performed to acquire center wavelength and full width half maximum (FWHM) of each band as well as each pixel. Secondly, for each band, the mean of center wavelength which is calculated according to the results of the spectral calibration is regarded as each pixel's adjusted center wavelength. For each band and each pixel, calculate the ratio coefficient based on adjacent bands, then establish a ratio coefficient form of full pixels. At last, correct the image by looking up the form. By using MNF transformation, a corrected image can be well evaluated, a brightness gradient of the images has been removed and the phenomenon of image spectral radiance mixing has been reduced greatly, especially at the edge of the image.

Citation Download Citation

Lin Li, Yong Hu, and Yueming Wang "Research of spectral curvature correction method for hyperspectral images", Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 819331 (8 September 2011); https://doi.org/10.1117/12.900687

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