Title

A new approach for anti-aliasing raster data in air borne imagery

Abstract/Description

Air borne sensed data is in the form of raster data. Aliasing is always present in a sampled image causing artifact error. To reduce possible aliasing effects, it is a good idea to blur an image slightly before applying a resampling method on it. This paper presents a technique for anti-aliasing remotely sensed images. The technique uses Gaussian low pass filter (GLPF) for generation of slight blur. Then resampling of raster data is performed with the help of bilinear interpolation. Algorithm is developed in MATLAB using some inbuilt functions.

Location

Crystal Ball Room A, Hotel Pearl Continental, Karachi, Pakistan

Session Theme

Algorithms, Tools and Applications [ALGO-1]

Session Type

Other

Session Chair

Dr. Noor M. Shaikh

Start Date

27-8-2005 6:00 PM

End Date

27-8-2005 6:20 PM

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Aug 27th, 6:00 PM Aug 27th, 6:20 PM

A new approach for anti-aliasing raster data in air borne imagery

Crystal Ball Room A, Hotel Pearl Continental, Karachi, Pakistan

Air borne sensed data is in the form of raster data. Aliasing is always present in a sampled image causing artifact error. To reduce possible aliasing effects, it is a good idea to blur an image slightly before applying a resampling method on it. This paper presents a technique for anti-aliasing remotely sensed images. The technique uses Gaussian low pass filter (GLPF) for generation of slight blur. Then resampling of raster data is performed with the help of bilinear interpolation. Algorithm is developed in MATLAB using some inbuilt functions.