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Automatic detection of natural slick from AIRSAR/POLSAR data

Marghany, Maged and Hashim, Mazlan and Arthur P., Cracknell (2007) Automatic detection of natural slick from AIRSAR/POLSAR data. In: International Workshop on Earth Observation Small Satellites for Remote Sensing Applications (EOSS2007), 20-23 November, 2007, Berjaya Times Square Hotel and Convention Centre, KL.

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Abstract

This paper introduces a new approach for modification of the formula of the fractal box counting dimension which is based on the utilization of the probability distribution formula in the fractal box count. The purpose of this method is to use it for the discrimination of natural slick pixels from the surrounding features e.g., sea surface and oil spill in AIRSAR/POLSAR data. The result shows that the new formula of the fractal box counting dimension is able to discriminate between natural slick and sea surface roughness. In this context, development such an early warning small satellite system for monitoring coastal hazard it will be main public interest. Future small satellite mission with microwave sensor might be able to provide an automatic tool to be used widely over global. Such technique enable to establish international network to monitor coastal disasters.

Item Type:Conference or Workshop Item (Poster)
Uncontrolled Keywords:synthetic aperture radar (SAR), AIRSAR/POLSAR, RADARSAT-1
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Geoinformation Science And Engineering (Formerly known)
ID Code:4765
Deposited By: En. Tajul Ariffin Musa
Deposited On:01 Jan 2008 09:05
Last Modified:29 Nov 2012 06:25

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