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Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery

Authors: Seema Biday, Udhav Bhosle

Abstract:

Repeated observation of a given area over time yields potential for many forms of change detection analysis. These repeated observations are confounded in terms of radiometric consistency due to changes in sensor calibration over time, differences in illumination, observation angles and variation in atmospheric effects. This paper demonstrates applicability of an empirical relative radiometric normalization method to a set of multitemporal cloudy images acquired by Resourcesat1 LISS III sensor. Objective of this study is to detect and remove cloud cover and normalize an image radiometrically. Cloud detection is achieved by using Average Brightness Threshold (ABT) algorithm. The detected cloud is removed and replaced with data from another images of the same area. After cloud removal, the proposed normalization method is applied to reduce the radiometric influence caused by non surface factors. This process identifies landscape elements whose reflectance values are nearly constant over time, i.e. the subset of non-changing pixels are identified using frequency based correlation technique. The quality of radiometric normalization is statistically assessed by R2 value and mean square error (MSE) between each pair of analogous band.

Keywords: Correlation, Frequency domain, Multitemporal, Relative Radiometric Correction

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1075374

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References:


[1] Yang, X.J., and C.P. Lo. "Relative radiometric normalization performance for change detection from multi-date satellite images." Photogrammetric Engineering and Remote Sensing, Vol. 66, No. 8, pp. 967-980, 2000.
[2] Fraser, R.S., Ferrare, R.A., Kaufman, Y.J., Markham, B.L. and Mattoo, S., 1992, "Algorithm for Atmospheric Corrections of Aircraft and Satellite Imagery", International Journal of Remote Sensing, vol. 13(3), pp. 541-557.
[3] Smith, M.O., Ustin, S.L., Adams, J.B. and Gillespie, A.R., 1990, "Vegetation in Deserts: I. A Regional Measure of Abundance from Multispectral Images", Remote Sensing of Environment, vol. 31, pp. 1- 26.
[4] Teillet, P.M., & Fedosejevs, G., 1995, "On the Dark Target Approach to Atmospheric Correction of Remotely Sensed Data", Canadian Journal of Remote Sensing, vol. 21(4), pp. 374-387.
[5] Chavez, P.S. Jr., 1988, "An Improved Dark-object Subtraction Technique for Atmospheric Scattering Correction of Multispectral Data", Remote Sensing of Environment, vol. 24, pp. 459-479.
[6] Chavez, P.S. Jr. and MacKinnon, D.J., 1994, "Automatic Detection of Vegetation Changes in the Suthwestern United States using Remotely Sensed Images", Photogrammetric Engineering and Remote sensing, vol. 60, pp. 571-583.
[7] Hall, F.G., Strebel, D.E., Nickeson, J.E. and Goetz, S.J., 1991, "Radiometric Rectification: Toward a Common Radiometric Response among Multidate, Multisensor Images", Remote Sensing of Environment, vol. 35, pp. 11-27.
[8] Schott, J.R., Salvaggio, C. and Volchok, W., 1988, "Radiometric Scene Normalisation using Pseudo Invariant Features", Remote Sensing of Environment, vol. 26, pp. 1-6.
[9] J Yuan, D. and Elvidge, C.D., 1996, "Comparison of Relative Radiometric Normalization Techniques", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 51, pp. 117-126.
[10] F. Cheevasuvit, K. Dejhan and T. Tanapapanich, "Cloud Cover and Cloud Shadow Removing Based on 2-Dimensional Histogram", ACRS 1992, Oct 1992.
[11] Jensen, J.R. (1983). "Urban/suburban land use analysis." In. R. N. Colwell (Ed.), Manual of Remote Sensing, 2nd ed., American Society of Photogrammetry, Falls Church, VA, pp. 1571-1666.
[12] Elvidge, C.D., D. Yuan, R.D. Werackoon, and R.S. Lunetta (1995). "Relative Radiometric Normalization of Landsat Multispectral Scanner (MSS) Data using an Automated Scattergram Controlled Regression." Photogrammetric Engineering and Remote Sensing, Vol. 61, No. 10, pp. 1255-1260.
[13] Gang Hong, Yun Zhang, "Radiometric Normalization Of Ikonos Image Using Quickbird Image For Urban Area Change Detection", Department of Geodesy and Geometrics Engineering, University of New Brunswick, 2002.
[14] Isaac J.H.Leung, JamesE.Jordan, "Image Processing for Weather Satellite Cloud Segmentation",IEEE Transactions Geoscience and Remote Sensing ,Vol.51,No.5,pp. 953-95,1995.