• May 15, 2019 News!Vol.7, No.5- Vol.8, No.4 has been indexed by EI (Inspec).   [Click]
  • Aug 01, 2018 News! [CFP] 2020 the annual meeting of IJMO Editorial Board, ECDMO 2020, will be held in Athens, Greece, February 15-17, 2020.   [Click]
  • Sep 30, 2019 News!Vol 9, No 6 has been published with online version. 12 original aritcles from 6 countries are published in this issue.    [Click]
General Information
    • ISSN: 2010-3697  (Online)
    • Abbreviated Title: Int. J. Model. Optim.
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET), EBSCO, etc.
    • E-mail ijmo@iacsitp.com
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2015 Vol.5(1): 1-5 ISSN: 2010-3697
DOI: 10.7763/IJMO.2015.V5.426

Analysis of Real Ocean Surface Photo Imaging by Using Weighted Least Square Method

Muhammad Sameer Sheikh, Qunsheng Cao, and Caiyun Wang
Abstract—This paper is focused on an analysis of the real images of ocean surface, such as dark ocean surface, sunlight effect on ocean surface and reflected by boat, by using twodimensional weighted least square method (2D-WLSM). We introduced three different factor values to achieve and get the maximum information of the ocean surface which contained some noisy signal. We determine the attributes of the real image using an image tool, then we convert the axes coordinates of the real image in to the pixel coordinates and obtain the pixel information of the real images by the 2DWLSM, and finally we compare the response factors of the measured values for the different cases. It is shown that the measured pixel response values are very close to the factor values and the errors between them are very small. Compared the error of the traditional LSM with WLSM we used, our method has shown better graphic results and the error are significantly reduced.

Index Terms—Image tool, ocean surface, real image, weighted least square method (WLSM).

The authors are with College of Electronics and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China (e-mail: sameer.5@hotmail.com)


Cite: Muhammad Sameer Sheikh, Qunsheng Cao, and Caiyun Wang, "Analysis of Real Ocean Surface Photo Imaging by Using Weighted Least Square Method," International Journal of Modeling and Optimization vol. 5, no. 1, pp. 1-5, 2015.

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