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Analytical Study on Enhancement of Satellite Image Processing


     

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In this field satellite image processing is one of the challenging tasks for the researches and for the data collection there are different satellites sensors are available in the very low resolution to high resolution range. In this we analyze the satellite image enhancement like DWT (Discrete Wavelet Transform) method, which studies the sub pixel analyze the image to increase the satellite imaginary representation in spatial resolution and enhancement based on sub pixel multiple image registration. due the increase in size , multiple dimension analyze  the satellite image consumes more process time to overcome the parallel computing based on Graphics Processing Unit (GPU) platform  provides good aspects for computing performance demand. signals and images are closely related to digital processing of observed in the environment and by observing ground measuring stations and satellite are allowing to detection of concentration of dust particles and in this we develop to the design and verification of algorithm of image DE noising including wavelet use and their correlation.

 


Keywords

Satellite Sensor, Image Processing, Discrete Wavelet Transform, GPU
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  • Analytical Study on Enhancement of Satellite Image Processing

Abstract Views: 292  |  PDF Views: 2

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Abstract


In this field satellite image processing is one of the challenging tasks for the researches and for the data collection there are different satellites sensors are available in the very low resolution to high resolution range. In this we analyze the satellite image enhancement like DWT (Discrete Wavelet Transform) method, which studies the sub pixel analyze the image to increase the satellite imaginary representation in spatial resolution and enhancement based on sub pixel multiple image registration. due the increase in size , multiple dimension analyze  the satellite image consumes more process time to overcome the parallel computing based on Graphics Processing Unit (GPU) platform  provides good aspects for computing performance demand. signals and images are closely related to digital processing of observed in the environment and by observing ground measuring stations and satellite are allowing to detection of concentration of dust particles and in this we develop to the design and verification of algorithm of image DE noising including wavelet use and their correlation.

 


Keywords


Satellite Sensor, Image Processing, Discrete Wavelet Transform, GPU