Universiti Teknologi Malaysia Institutional Repository

Texture entropy algorithm for automatic detection of oil spill from RADAR-1 SAR Data

Marghany, Maged and Hashim, Mazlan (2010) Texture entropy algorithm for automatic detection of oil spill from RADAR-1 SAR Data. International Journal of the Physical Sciences, 5 (9). 1475 -1480. ISSN 1992 - 1950

[img]
Preview
PDF
501kB

Abstract

This work presents a method based on the utilisation of texture algorithms for the discrimination of oil spill areas from the surrounding features, e.g. sea surface and look-alikes, using RADARSAT-1 SAR Wide beam mode (W1), Standard beam mode (S2) and Standard beam mode (S1) data acquisition under different wind speeds. The results show that entropy texture algorithm is able to discriminate between oil spills and look-alike areas. The results also illustrate that the entropy texture algorithm identifies well the deficiency of oil spills in pairs of S2 data. Further, the W1 mode data, however, show an error standard deviation of 0.002, thus performing a better discrimination of oil spills than the S1 and S2 mode data.

Item Type:Article
Uncontrolled Keywords:W1 mode, S2 mode, oil spill
Divisions:Geoinformation and Real Estate
ID Code:26528
Deposited By: Narimah Nawil
Deposited On:18 Jul 2012 09:46
Last Modified:30 Nov 2018 14:24

Repository Staff Only: item control page