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Proceedings Paper

DCT-based algorithm to remove vertical stripings from Ocean Colour Monitor (OCM) data in Indian Remote Sensing Satellite (IRS-P4)
Author(s): Santosh Kumar Tripathi; Nitant Dube; R. Ramakrishnan
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Paper Abstract

IRS-P4(Oceansat-1) is the first in the series of Indian operational ocean remote sensing satellites. The payloads of this mission are tailored for making measurements of the physical and biological oceanographic parameters. IRS-P4 contains two sensors, namely Ocean Colour Monitor (OCM) and MSMR. OCM has 8-bands, in which first band, intermittently shows vertical stripings in the raw data. An algorithm based on Discrete Cosine Transform(DCT), is proposed here to model these vertical stripings. Some of the basis function of the DCT has very high degree of similarity with the vertical strips. This work elliminates the vertical strips present in the image by modelling the appropriate coefficients of the basis functions. Results of our work shows that the approach followed by us is effective in removing the vertical strips. To avoid the computational overheads of application of this algorithm on large image, we have divided the image into smaller blocks, the issues of block based processing in frequency domain has been taken care by handling the boundary conditions by means of smoothening.

Paper Details

Date Published: 22 December 2006
PDF: 6 pages
Proc. SPIE 6405, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications, 64052D (22 December 2006); doi: 10.1117/12.693950
Show Author Affiliations
Santosh Kumar Tripathi, ISRO Space Applications Ctr. (India)
Nitant Dube, ISRO Space Applications Ctr. (India)
R. Ramakrishnan, ISRO Space Applications Ctr. (India)


Published in SPIE Proceedings Vol. 6405:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications
William L. Smith Sr.; Allen M. Larar; Tadao Aoki; Ram Rattan, Editor(s)

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