Gray Scale Image Processing (GSI) technique has developed using MATLAB�s Digital Signal Processing toolbox to remove the unwanted frequencies present in the SODAR facsimiles and also to enhance the pixel quality (intensity) of the facsimiles for a better view. In general, the sources of these noises (unwanted frequencies) are airplanes, Choppers, Hi-frequency sound systems and man-made noises nearby SODAR antenna. Already some filtering techniques like Gaussian filter, median filter, and other DSP filter techniques are employed to remove the noises from facsimiles but these techniques are incapable of enhancing the pixel clarity. This GSI computing techniques could be applied directly to SODAR facsimiles, which is not possible with other filtering techniques. The beauty of the technique is that time was taken to complete the process within 10 to 20 seconds. Here in this paper, all mathematical computing techniques are designed and developed through MATLAB.

Computing, Facsimile, Filter, Gaussian, Grayscale, Histogram, Image, MATLAB, Noise, Pixel, SODAR

[1]. Anandan, V.K., Shravan, K.M., and Srinivasa Rao, I., 2008: �First results of experimental tests of newly developed NARL phased array Doppler sodar�, J. Atmos. Oceanic Technol. 25, 1778-1784.
[2]. Antoniou, I., J�rgensen, H.E., Ormel, F., Bradley, S., von Hunerbein, S., Emeis, S., and Warmbier, G., 2003: �On the theory of sodar measurement techniques�, Riso-R-1410 (EN), Ris� National Laboratory, Roskilde, Denmark, 1-60.
[3]. Asimakopoulos, D.N., Helmis, C.G., and Michopoulos, J., 2004: �Evaluation of sodar methods for the determination of the atmospheric boundary layer mixing height�, Meteorol. Atmos. Phys. 85, 85-92.
[4]. Balser, M. and Amber, F.E., 1985: �Phased Array Acoustic Antenna�, U.S. Pat. No. 4,558,594 dated December 17, 1985, United States Patents and Trademark Office, Alexandria, VA.
[5]. Baumann-Stanzer, K. and Piringer, M., 2004: �Foehn signals detected by sodar wind and turbulence measurements in the Rhine Valley, Austria, during the MAP field phase�, Meteorol. Atmos. Phys. 85, 125-139.
[6]. Beran, C.W., Little, C.G., and Willmarth, B.C., 1971: �Acoustic Doppler measurements of vertical velocities in the atmosphere�, Nature, 230, 160-162.
[7]. Bradley, S., 2008: �Atmospheric Acoustic Remote Sensing�, CRC Press, USA.
[8]. Bradley, S., Mursch-Radlgruber, E., and von H�nerbein, S., 2007: �Sodar measurements of wing vortex strength and position�, J. Atmos. Oceanic Tech. 24, 141-155.
[9]. Neff, W.D., 1978: �Beam width effects on acoustic backscatter in the planetary boundary layer�, J. Appl. Meteorol. 17, 1514-1520.
[10]. M. Hareesh Babu and et.all �Scattering of Sodar Signal by Turbulence in Homogenous, Isotopic and other Mediums�, IJCSE,Vol-2,Issue-4,page1-5;April2014.E-ISSN:2347-2693.
[11]. Nilsson, A., 2010: �The Sodar as a Screening Instrument�, M.S. Thesis, Department of Earth Sciences, Air, Water and Landscape Science, Uppsala University, Uppsala, Sweden.
[12]. Painter, E. and Spanias, A., 1996: �A Matlab software tool for the introduction of speech coding fundamentals in a DSP course�, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal processing, 1133-1136.
[13]. Pang, X. and Grabl, H., 2005: �High-frequency single-board Doppler mini sodar for precipitation measurements. Part I: Rainfall and hail�, J. Atmos. Oceanic Technol. 22, 421-432.
[14]. Purdy, R.J., Blankenship, P.E., Muehe, C.E., Rader, C.M., Stern, E., and Williamson, R.C., 2000: �Radar signal processing�, Lincoln Laboratory Journal, 12, 297-320.