This paper attempts to undertake the study of Restored Gaussian Blurred Images. by using four types of techniques of deblurring image as Wiener filter, Regularized filter ,Lucy Richardson deconvlutin algorithm and Blind deconvlution algorithm with an information of the Point Spread Function (PSF) corrupted blurred image with Different values of Size and Alfa and then corrupted by Gaussian noise. The same is applied to the remote sensing image and they are compared with one another, So as to choose the base technique for restored or deblurring image.This paper also attempts to undertake the study of restored Gaussian blurred image with no any information about the Point Spread Function (PSF) by using same four techniques after execute the guess of the PSF, the number of iterations and the weight threshold of it. To choose the base guesses for restored or deblurring image of this techniques.
Decision Support System for Agrotechnology Transfer (DSSAT v4.5) Cropping System Model (CSM) was used to study the impact of climate change and variability on productivity of different kharif (rice, maize, jowar and bajra) and rabi crops (wheat and barley) at Varanasi. Keeping in view the observed trends in climate variability, productivity of different kharif and rabi crops were simulated under plausible synthetic climatic scenarios of changes in temperature, solar radiation and carbon dioxide. Productivity of kharif crops viz. rice, maize, jowar and bajra and rabi crops viz. wheat, and barley decreased with an increase in temperature or a decrease in solar radiation above normal. However, productivity of different kharif and rabi crops increased under expected enhanced CO2 concentrations. Highest productivity decreased in barley crop (40.7%) of rabi season and minimum in rice crop (5%) of kharif season with an increase of 3.0 0C in temperature from normal. Whereas, maximum productivity decreased in barley crop (5.0%) of rabi season and minimum in jowar crop (1.8%) of kharif season with a decrease of 2.5 per cent in solar radiation from normal. Highest productivity increase in barley crop (58.2%) of rabi season and lowest in jowar crop (4.2%) of kharif season were simulated under expected enhanced CO2 concentration of 660 ppm. The maximum decrease in productivity of barley crop (45%) in rabi season and minimum inrice crop (7%) in kharif season were simulated when a decrease in temperature by 3 0C and solar radiation by 2.5 per cent from normal. Highest counter-balance on productivity of rice crop (13%) in kharif season and lowest in barja crop (-23%) of kharif season were simulated when an increase in temperature by 3 0C from normal under expected enhanced CO2 concentration of 660 ppm.
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