Browse > Article

Application of Homomorphic Filtering to Satellite Imagery and Geophysical Image Data  

Yoo Hee-Young (Department of Geoscience Education, Seoul National University)
Lee Kiwon (Department of Information Systems, Hansung University)
Kwon Byung-Doo (Department of Geoscience Education, Seoul National University)
Publication Information
Journal of the Korean earth science society / v.26, no.1, 2005 , pp. 58-65 More about this Journal
Abstract
Homomorphic filtering improves image by enhancing high components and reducing low components in the Sequency domain based on FFT, as one of useful digital image processing techniques. In this study, the application program f3r homomorphic filtering was developed. Using this program, satellite imageries and geophysical image such as magnetic image data were processed and their results were analyzed. In case of applying to other techniques suck as histogram equalization and kernel-based masking f3r the same purpose. they often cause the slight distortion of boundary or overall change of brightness values on the whole image. Whereas. homomorphic filtering has ability to enhance selectively detailed components in a target image. Therefore. this technique can be effectively used for extraction or separation of complex types of characteristics contained in the satellite imagery. In addition, this technique would be applicable to investigate anomalous zone in various geophysical image data.
Keywords
Homomorphic filtering; High-resolution imagery; Geophysical image; Image Enhancement;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Jensen, J. R., 1996, Introductory Digital Image Processing: A Remote Sensing Perspective. Prentice Hall. 141-152 p
2 Lee, K., Yu, Y. C., and Lee, B. G., 2003, Automatic Road Extraction by Gradient Direction Profile Algorithm (GDPA) using High-Resolution Satellite Imagery: Experiment Study, Korean Jour. of Remote Sensing, 19, 393-402
3 Gonzalez, R. C. and Woods, R. E., 2002, Digital Image Processing, Prentice Hall, 198-201 p
4 Rencz, A. N. (Ed), 1999, Remote Sensing for the Earth Sciences, Manual of Remote Sensing Third Edition, John Wiley and Sons Inc, 307-354 P
5 Zhang, T. Y. and Suen, C. Y., 1984, A fast parallel algorithm for thinning digital patterns, Communications of the Association for Computing Machinery, 27, 236-239   DOI   ScienceOn
6 Wang, J. and Zhang, Q., 2000, Applicability of a Gradient Profile Algorithm for Road Network Extraction-Sensor, Resol ution and Background Considerations, Canadian Jour. of Remote Sensing, 26, 428-439
7 Parker, J. R., 1997, Algorithms for Image processing and Computer Vision, Wiley Computer Publishing, 241-245 p
8 Wang, J., P. M. Treitz, and P. J. Howarth, 1992, Road Network Detection from SPOT Imagery for Updating Geographical Information Systems in the Rural-Urban Fringe, Int. Jour. of Geographical Information Systems, 6(2): 141-157   DOI
9 Myler, H. R. and Weeks, A. R., 1993, The Pocket Handbook of Image Processing Algorithms in C, Prentice Hall, 119-121 p