Visibility restoration of single hazy remote sensing images
TAMILARASI.M
, Mrs.N.AMEENA BIBI
sensor blur and noise, dark channel prior,Haze removal, remote sensing
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.
"Visibility restoration of single hazy remote sensing images", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 3, page no.229 - 233, March-2017, Available :https://ijsdr.org/papers/IJSDR1703035.pdf
Volume 2
Issue 3,
March-2017
Pages : 229 - 233
Paper Reg. ID: IJSDR_170115
Published Paper Id: IJSDR1703035
Downloads: 000347223
Research Area: Engineering
Country: Dharmapuri, Tamilnadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
