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Analytical Approach for Identification of Orbits from SCATTEROMETER Level-0 Noise Images

Published on August 2016 by Mudit J. Dholakia, C. K. Bhensdadia, Anuja Sharma
journal_cover_thumbnail

International Conference on Communication Computing and Virtualization
Foundation of Computer Science USA
ICCCV2016 - Number 2
August 2016
Authors: Mudit J. Dholakia, C. K. Bhensdadia, Anuja Sharma
77376beb-f91e-4dc4-8c18-564a79e97d75

Mudit J. Dholakia, C. K. Bhensdadia, Anuja Sharma . Analytical Approach for Identification of Orbits from SCATTEROMETER Level-0 Noise Images. International Conference on Communication Computing and Virtualization. ICCCV2016, 2 (August 2016), 1-5.

@article{
author = { Mudit J. Dholakia, C. K. Bhensdadia, Anuja Sharma },
title = { Analytical Approach for Identification of Orbits from SCATTEROMETER Level-0 Noise Images },
journal = { International Conference on Communication Computing and Virtualization },
issue_date = { August 2016 },
volume = { ICCCV2016 },
number = { 2 },
month = { August },
year = { 2016 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /proceedings/icccv2016/number2/25600-0171/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Communication Computing and Virtualization
%A Mudit J. Dholakia
%A C. K. Bhensdadia
%A Anuja Sharma
%T Analytical Approach for Identification of Orbits from SCATTEROMETER Level-0 Noise Images
%J International Conference on Communication Computing and Virtualization
%@ 0975-8887
%V ICCCV2016
%N 2
%P 1-5
%D 2016
%I International Journal of Computer Applications
Abstract

Considering the raw data extraction algorithms designed for different sensor data this paper focuses on the SCATTEROMETER Level-0 data extracted from raw data products. An analysis of extracted noise images is shown. Then a very simple technique but a very important concept is described and implemented on such noise images. Paper shows the approach which can be help full for identification of number of orbits in to the raw data products. The main objective of this approach is to provide the statistics to the application specific user. The approach is based on analyzed behavior of noise images extracted from the raw product. This approach defines a very basic standard to identify number of orbits based on SCATTEROMETER noise images. An implementation algorithm with its time complexity is shown with the corresponding implementation in C language. The proposed approach is for noise images of Data Quality Evaluation Level-0 SCATTEROMETER noise images, but it can also be extended for other noise images. The assumption for the paper is, the scanning geometry of noise image has been established in terms of scans and pixels i. e. header or interpretation format of the noise data.

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Index Terms

Computer Science
Information Sciences

Keywords

Spatial Data Products Orbit-identification Noise-images Image Data Analysis