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Remote Sens. 2016, 8(8), 680; doi:10.3390/rs8080680

Second-Order Polynomial Equation-Based Block Adjustment for Orthorectification of DISP Imagery

1
Guangxi Key Laboratory for Geospatial Informatics, Guilin University of Technology, No. 12, Jian’gan Road, Qixing District, Guilin 541004, China
2
Guangxi Institute of Surveying and Remote Sensing Information, No. 5, Jianzheng Road, Qingxiu District, Nanning 530023, China
3
The Center for Remote Sensing, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China
*
Authors to whom correspondence should be addressed.
Academic Editors: Zhenhong Li, Roberto Tomas, Zhong Lu, Richard Gloaguen and Prasad S. Thenkabail
Received: 4 July 2016 / Revised: 12 August 2016 / Accepted: 17 August 2016 / Published: 22 August 2016
(This article belongs to the Special Issue Earth Observations for Geohazards)
View Full-Text   |   Download PDF [5914 KB, uploaded 22 August 2016]   |  

Abstract

Due to the lack of ground control points (GCPs) and parameters of satellite orbits, as well as the interior and exterior orientation parameters of cameras in historical declassified intelligence satellite photography (DISP) imagery, a second order polynomial equation-based block adjustment model is proposed for orthorectification of DISP imagery. With the proposed model, 355 DISP images from four missions and five orbits are orthorectified, with an approximate accuracy of 2.0–3.0 m. The 355 orthorectified images are assembled into a seamless, full-coverage mosaic image map of the karst area of Guangxi, China. The accuracy of the mosaicked image map is within 2.0–4.0 m when compared to 78 checkpoints measured by Real–Time Kinematic (RTK) GPS surveys. The assembled image map will be delivered to the Guangxi Geological Library and released to the public domain and the research community. View Full-Text
Keywords: declassified intelligence satellite photography (DISP); rectification; imagery distortion; second polynomial equation declassified intelligence satellite photography (DISP); rectification; imagery distortion; second polynomial equation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhou, G.; Yue, T.; Shi, Y.; Zhang, R.; Huang, J. Second-Order Polynomial Equation-Based Block Adjustment for Orthorectification of DISP Imagery. Remote Sens. 2016, 8, 680.

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