Geometric Correction in High Resolution Satellite Imagery using Mathematical Methods: A Case Study in Kiliyar Sub Basin

Geometric Correction in High Resolution Satellite Imagery using Mathematical Methods: A Case Study in Kiliyar Sub Basin

Mr. S. Thirunavukkarasu

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Capt. Dr. S.Santhosh Baboo

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University of Madras

Geometric Correction in High Resolution Satellite Imagery using Mathematical Methods: A Case Study in Kiliyar Sub Basin

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Abstract

The number of high resolution space imagery have great interest in the photogrammetric and remote sensing communities. This imagery is considered as a basic information source for mapping with various applications in geomantic. By this hybrid both the projection model and polynomial model in geometric correction of satellite imagery, it needs to control points and standardisation data. In the geometric correction of the IRS P-5 LISS III imagery is required whenever the image is to be compared with existing maps or with other imagery. In this paper execute the composition of correction function using Ground Control Points. The results show eligibility of geometric correction of these models for selected imagery. An accuracy analysis is performed, with emphasis being laid on the number and location of Ground Control Points.

References

12 Cites in Article

Reference Format

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(null). Appendix 3—table 1. Reference parameter set used for the model Equations 17–19..
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mr. S. Thirunavukkarasu. 2014. \u201cGeometric Correction in High Resolution Satellite Imagery using Mathematical Methods: A Case Study in Kiliyar Sub Basin\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 14 (GJCST Volume 14 Issue F1): .

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GJCST Volume 14 Issue F1
Pg. 35- 40

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

gcp polynomial projection Remote Sensing

Submission ReceivedDecember 11, 2013
Peer Review Double Blind
Handling Editor
Accepted December 31, 2013
Published January 15, 2014

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v1.2

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March 28, 2014

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Capt. Dr. S.Santhosh Baboo, Mr. S. Thirunavukkarasu (PhD/Dr. count: 1)

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Publish Date: 2014 03, Fri

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Total Views: 8880

Total Downloads: 2325

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