Share This Article:

Application of Multi-Frequency SAR Images for Knowledge Acquisition

Abstract Full-Text HTML Download Download as PDF (Size:261KB) PP. 242-246
DOI: 10.4236/ars.2013.23026    2,679 Downloads   4,912 Views   Citations


The aim of this research is to apply TerraSAR X-band, Envisat C-band and Palsar L-band synthetic aperture radar (SAR) images for a knowledge acquisition process. For the study, backscattering properties of different natural and man-made objects of urban environment are analyzed on the basis of statistics of signatures of the selected classes. After the knowledge acquisition, for the acquired knowledge representation, a rule-based approach is proposed. Overall, the research demonstrated that the multi-frequency radar images can be effectively used for the knowledge acquisition as well as for the analysis of different land cover types.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

V. Battsengel, D. Amarsaikhan, A. Munkh-Erdene, C. Bolorchuluun and C. Narantsetseg, "Application of Multi-Frequency SAR Images for Knowledge Acquisition," Advances in Remote Sensing, Vol. 2 No. 3, 2013, pp. 242-246. doi: 10.4236/ars.2013.23026.


[1] L. D. Xu, N. Liang and Q. Gao, “An Integrated Knowledge-Based System for Grasslands Ecosytems,” Knowledge-Based Systems, Vol. 14, No. 5-6, 2001, pp. 271-280. doi:10.1016/S0950-7051(01)00106-X
[2] A. E. Daniels, “Incorporating Domain Knowledge and Spatial Relationships into Land Cover Classifications: A Rule-Based Approach,” International Journal of Remote Sensing, Vol. 27, No. 14, 2006, pp. 2949-2975. doi:10.1080/01431160600567753
[3] D. Amarsaikhan, H. H. Blotevogel, J. L. van Genderen and M. Ganzorig, “Knowledge Acquisition on Urban Land Cover Features Using TerraSAR and Quickbird Images,” CD-ROM Proceedings of the Asian Conference on RS, Beijing, 18-23 October 2009.
[4] W. P. Wagner, J. Otto and Q. B. Chung, “Knowledge acquisition for expert systems in accounting and financial problem domains,” Knowledge-Based Systems, Vol. 15, No. 8, 2002, pp. 439-447. doi:10.1016/S0950-7051(02)00026-6
[5] D. Amarsaikhan, M. Ganzorig and V. Battsengel, “Knowledge Acquisition in C-Band and L-Band Radar Frequencies,” CD-ROM Proceedings of the Asian Conference on RS, Hanoi, 2006.
[6] D. Amarsaikhan and M. Ganzorig, “Interpretation and comparison of AirSAR quad-polarised radar images,” Proceedings of the 20th Asian Conference on RS, 22-26 November 1999, Hong Kong, pp. 695-700.
[7] American Society of Photogrammetry, “Manual of Remote Sensing,” 3rd Edition, 1999.
[8] A. Quintero and S. Pierre, “A Knowledge-Based Approach for Managing Urban Infrastructures,” Knowledge-Based Systems, Vol. 15, No. 8, 2002, pp. 449-463. doi:10.1016/S0950-7051(02)00028-X
[9] D. Amarsaikhan, M. Ganzorig, P. Ache and H. H. Blotevogel, “The Integrated Use of Optical and InSAR Data for Urban Land Cover Mapping,” International Journal of Remote Sensing, Vol. 28, No. 6, 2007, pp. 11611171. doi:10.1080/01431160600784267
[10] H. M. Onsi, “Designing a Rule-Based Classifier Using Syntactical Approach,” International Journal of Remote Sensing, Vol. 24, No. 4, 2003, pp. 637-647. doi:10.1080/01431160010026041

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.