نتایج جستجو برای: peaks viewshed
تعداد نتایج: 35314 فیلتر نتایج به سال:
This paper examines the effects of database generalization on the area which is determined to be visible in GIs analysis. Many different methods of generalization are possible, but here, for any cell at the target resolution, elevations are determined from: the arithmetic mean, the maximum, the minimum, and the maximum difference from the mean of the cells within the kernel, and all possible co...
Depth and wavelength dependence of absorption and scattering coefficients at the South Pole AMANDA site were mapped with pulsed and D.C. light sources. The contribution of air bubbles to scattering decreases with depth and disappears at 1.4 km; at greater depths scattering by dust dominates. Peaks in scattering at several well-defined depths are attributed to peaks in dust concentration and are...
We describe several programs working with 1201x1201 gridded (array) terrain elevation data: determining the viewshed of an observer, and the visibility indices of all points, converting from a grid to a TIN, losslessly and lossily compressing a grid, and interpolating from contours to a grid. The intent is to integrate these, and new, programs, into a test suite the better to understand hypsogr...
We describe several programs working with 1201x1201 gridded (array) terrain elevation data: determining the viewshed of an observer, and the visibility indices of all points, converting from a grid to a TIN, losslessly and lossily compressing a grid, and interpolating from contours to a grid. The intent is to integrate these, and new, programs, into a test suite the better to understand hypsogr...
In this paper we present an attack to xed depth image watermarks. The attack is based on histogram analysis of a watermarked image. With this attack, the watermark can often be reconstructed from just a few images, without using the detector.
Gen_spectrum=Generic_1nm_Interpolation(Input_Spectrum, Method=’Cubic Splines’) First_filt_step=Filter_Boxcar(Gen_Spectrum, boxcar_length=’10% of Gen_spectrum’) Second_filt_step=Filter_Boxcar(First_filt_step, boxcar_length=’10% of Gen_spectrum’) Third_filt_step=Filter_Boxcar(Gen_Spectrum, boxcar_length=’2% of Gen_spectrum’) Fourth_filt_step=Filter_Boxcar(Third_filt_step, boxcar_length=’2% of Gen...
We present a novel system for the automatic evaluation of speech and voice disorders. The system can be accessed via the internet platform-independently. The patient reads a text or names pictures. His or her speech is then analyzed by automatic speech recognition and prosodic analysis. For patients who had their larynx removed due to cancer and for children with cleft lip and palate we show th...
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