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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Visibility restoration of single hazy remote sensing images
Unique Id: IJSDR1703035
Published In: Volume 2 Issue 3, March-2017
Abstract: Remote sensing Images are widely used in various fields including agricultural, forestry, hydrology and military. However, remote sensing Images are easily degraded by atmospheric scattering due to suspended particles in the atmosphere such as haze, fog, mist. Most of haze removal methods based on single image have ignored the effects of sensor blur and noise.To overcome this issue, a simple but effective image dark channel prior technique with deformed hazing imaging model has been proposed.The atmospheric light and transmission are estimated according to the new model combined with dark channel prior. Transmission estimated can result in discontinuity. After that scene radiance is recovered.In order to eliminate halo artifacts still present in the scene radiance, various filters are used. . The proposed dehaze algorithm has been simulated using MATLAB R2013a. The Performance metrics and visual analysis shows that the proposed approach gives better performance compared to existing methods with low processing time and retains very fine details.
Keywords: sensor blur and noise, dark channel prior,Haze removal, remote sensing
Cite Article: "Visibility restoration of single hazy remote sensing images", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 3, page no.229 - 233, March-2017, Available :http://www.ijsdr.org/papers/IJSDR1703035.pdf
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Publication Details: Published Paper ID: IJSDR1703035
Registration ID:170115
Published In: Volume 2 Issue 3, March-2017
DOI (Digital Object Identifier):
Page No: 229 - 233
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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