Share This Article:

Optimization of Multi-Level Cooperative Remote Sensing Using Carriers Flying on Counter-Phase Trajectories

Abstract Full-Text HTML XML Download Download as PDF (Size:70KB) PP. 150-152
DOI: 10.4236/pos.2011.24015    2,696 Downloads   5,686 Views  

ABSTRACT

The criterion for effectiveness of remote sensing system forming the image by the aim: a) further processing; b) detection of temporal changes or differences in spectral bands; accumulation and registration in GIS system is formulated. The optimal point in trajectory, where the maximum effectiveness of system’s operation of maximum information entropy at the system output is calculated. The regime limit value of parameters are calculated, upon surpassing of which the maximal effectiveness of the system may be reached.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

H. Asadov, N. Javadov, A. Mehdiyev and K. Ismaylov, "Optimization of Multi-Level Cooperative Remote Sensing Using Carriers Flying on Counter-Phase Trajectories," Positioning, Vol. 2 No. 4, 2011, pp. 150-152. doi: 10.4236/pos.2011.24015.

References

[1] X. Dai and S. Khorram, “The effects of Image Misregistration on the Accuracy of Remotely Sensed Change Detection,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 36, No. 5, 1998, pp. 1566-1577. doi:10.1109/36.718860
[2] P. Viola and W. Wells, “Alignment by Maximization of Mutual Information,” Proceedings of the 5th International Conference on Computer Vision, Cambridge, 20- 23 June 1995, pp. 6-23.
[3] F. Maes, A. Collignon, D. Vandermeulen, G. Marchal and P. Suettens, “Multimodality Image Registration by Maximization of Mutual Information,” IEEE Transactions on Medical Imaging, Vol. 16, No. 2, 1997, pp. 187-198. doi:10.1109/42.563664
[4] H. Chen and P. K. Varshney, 2000, “A Pyramid Approach for Multimodality Image Registration Based on Mutual Information,” Proceedings of Fusion’ 2000, Paris, 10-13 July 2000, pp. MoD3-9-MoD3-15.
[5] K. Jonhson, A. C. Rhodes, I. Zavorin and J. LeMoigne, 2001, “Mutual Information as a Similarity Measure for Remote Sensing Image Registration,” Proceedings of SPIE, Orlando, 16-20 April 2001, pp. 51-61. doi:10.1117/12.428251
[6] X. Zhu and Y. Jia, “Solution to Joint Entropy and Its Applications in Remote Sensing.” www.isprs.org/proceedings/XXXV/congress/comm5/papers/621.pdf

  
comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.