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Computational Ecology and Software, 2014, 4(3): 193-204
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Article

Multi Resolution Analysis (MRA) of satellite images of oil spill disasters

Rashid Hussain
Faculty of Engineering Science and Technology, Hamdard University, Karachi 74600, Pakistan

Received 17 February 2014;Accepted 25 March 2014;Published online 1 September 2014
IAEES

Abstract
Oil spill disasters monitoring and mitigation requires availability of state of the art applications and tools. Conventional technology gets benefit from latest trends and research in satellite imaginary. This research highlights multi-resolution wavelet analysis of satellite images of oil spill disasters. Multi-resolution analysis is one of the powerful techniques to analyze information content of images. This analysis enables us to have a scale-invariant interpretation of the image. At each resolution level, both smooth and detailed signals carry all the necessary information to reconstruct the smooth signal at the next level. The wavelet decomposition results in detail and approximate threshold coefficients. Multi resolution wavelet decomposition is used to analyze the image in both time and frequency domain. It provides better frequency resolution and poor time resolution for lower frequency; better time resolution and poor frequency resolution for higher frequency. This condition is fortunately suited for real applications; as signals have high frequency components for very short period of the interval and low frequency components for longer durations.

Keywords remote sensing; multi-resolution wavelet analysis; satellite images of oil spill disasters.

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