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Texture Statistics Features of SAR Oil Spills Imagery

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3 Author(s)
Yongsheng Yang ; Coll. of Electr. & Inf. Eng., Suzhou Univ. of Sci. & Technol., Suzhou, China ; Fuyuan Hu ; Juan Xia

In the process of SAR oil spills imagery segment and detection, texture statistics features play a key role, which are based on the gray level co-occurrence matrix. Some of texture statistics features are illuminated, such as contrast, correlation, energy, homogeneity, entropy, max probability, cluster prominence, dissimilarity and difference entropy. The texture statistics features which are varied with the offset and the direction are analyzed by ENVISAT ASAR oil spills imagery. Energy, cluster prominence and contrast features of sea water are varied quickly with the offset and direction. However, cluster prominence of oil slicks has no sensitivity with the direction except 90 degree. These results can be gain helpful for SAR oil spills imagery detection and classification.

Published in:

Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on

Date of Conference:

1-3 June 2012