%0 Journal Article %1 noauthororeditor %A S.1, KlogoGriffith %A GasonooAkpeko2, %A and Ampomah K. E. Isaac3, %D 2013 %J International Journal of Information Technology, Modeling and Computing (IJITMC) %K MSE Mean Median PSNR SAR Speckle and filter images noise %N 4 %P 01-10 %R http://airccse.org/journal/ijitmc/papers/1413ijitmc05.pdf %T ON THE PERFORMANCE OF FILTERS FOR REDUCTION OF SPECKLE NOISE IN SAR IMAGES OFF THE COAST OF THE GULF OF GUINEA %U http://airccse.org/journal/ijitmc/papers/1413ijitmc05.pdf %V 1 %X Synthetic Aperture Radar (SAR) imagery to monitor oil spills are some methods that have been proposed for the West African sub-region. With the increase in the number of oil exploration companies in Ghana (and her neighbors) and the rise in the coastal activities in the sub-region, there is the need for proper monitoring of the environmental impact of these socio-economic activities on the environment.Detection and near real-time information about oil spills are fundamental in reducing oil spill environmental impact. SAR images are prone to some noise, which is predominantly speckle noise around the coastal areas. This paper evaluatesthe performance of the mean and median filters used in the preprocessing filtering to reduce speckle noise in SAR images for most image processing algorithms.

@article{noauthororeditor, abstract = {Synthetic Aperture Radar (SAR) imagery to monitor oil spills are some methods that have been proposed for the West African sub-region. With the increase in the number of oil exploration companies in Ghana (and her neighbors) and the rise in the coastal activities in the sub-region, there is the need for proper monitoring of the environmental impact of these socio-economic activities on the environment.Detection and near real-time information about oil spills are fundamental in reducing oil spill environmental impact. SAR images are prone to some noise, which is predominantly speckle noise around the coastal areas. This paper evaluatesthe performance of the mean and median filters used in the preprocessing filtering to reduce speckle noise in SAR images for most image processing algorithms.}, added-at = {2018-09-15T09:25:14.000+0200}, author = {S.1, KlogoGriffith and GasonooAkpeko2 and and Ampomah K. E. Isaac3}, biburl = {https://www.bibsonomy.org/bibtex/2a76f953397a56eda6b039a123cbbb2e2/alexafedrica}, doi = {http://airccse.org/journal/ijitmc/papers/1413ijitmc05.pdf}, interhash = {f9d0419c7bf0b975dcf0644e2da0bd3f}, intrahash = {a76f953397a56eda6b039a123cbbb2e2}, journal = {International Journal of Information Technology, Modeling and Computing (IJITMC)}, keywords = {MSE Mean Median PSNR SAR Speckle and filter images noise}, month = {November}, number = 4, pages = {01-10}, timestamp = {2018-09-15T09:25:14.000+0200}, title = {ON THE PERFORMANCE OF FILTERS FOR REDUCTION OF SPECKLE NOISE IN SAR IMAGES OFF THE COAST OF THE GULF OF GUINEA}, url = {http://airccse.org/journal/ijitmc/papers/1413ijitmc05.pdf}, volume = 1, year = 2013 }