A comparative study of radiometric corrections on multispectral and panchromatic images

  • Ahalya Nalluri
  • Dr Ramesh H

Abstract

Satellite images which are obtained by a
satellite which is not in direct contact with surface but
captures and stores the images in range of
electromagnetic spectrum. Satellite images consists of
numerous distortions or errors which are caused by
many external factors and internal factors. Radiometric
distortions (Spectral Anomalies) are due to errors in
digital number (DN) of image. Radiometric corrections
helps in improving the quality of image by correcting the
DN values which helps in comparative studies and this is
the major step in digital image processing. This study is
carried out using ERDAS imagine software. This study
mainly focused on haze reduction, noise reduction and
periodic noise removal on multispectral data and
panchromatic data. Histograms and accuracy assessment
was carried out to plot the difference between processed
and unprocessed image. Haze removal techniques
demonstrated success compared with noise removal and
periodic noise removal technique which might be due to
absence of noise in the satellite imagery.

Keywords: Radiometric corrections, Multispectral image, panchromatic image, Haze reduction, Noise reduction

References

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[3] L. Paolini, F. Grings, J. A. Sobrino, J. C.
Jiménez Muñoz, and H. Karszenbaum,
“Radiometric correction effects in Landsat
multi-date/multi-sensor change detection
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pp. 685–704, 2006.
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How to Cite
Nalluri, A., & H, D. R. (2019). A comparative study of radiometric corrections on multispectral and panchromatic images. Asian Journal For Convergence In Technology (AJCT). Retrieved from http://www.asianssr.org/index.php/ajct/article/view/761
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