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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

has been cited by the following article:

• TITLE: Application of Multi-Frequency SAR Images for Knowledge Acquisition

  AUTHORS: V. Battsengel, D. Amarsaikhan, A. Munkh-Erdene, Ch. Bolorchuluun, Ch. Narantsetseg

  KEYWORDS: Knowledge Acquisition; SAR; Microwave Wavelengths; Backscattering

  JOURNAL NAME: Advances in Remote Sensing, Vol.2 No.3, September 12, 2013

  ABSTRACT: 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.