Record Details


Field	Value

Title	Support Tucker machines based marine oil spill detection using SAR images

Creator	Ma, Liyong

Subject	Oil spill detection Classification Support Tucker machines SAR image

Description	1445-1449 Marine oil spills can destroy wildlife habitat, breeding ground and pollute the sea water or beaches. It is critical to detect marine oil spills efficiently and distinguish the oil spills from other look-alike objects before the clean action. Employing support Tucker machines, a learning based method is proposed for the detection of marine oil spills with SAR images. Firstly the features are obtained from the original images, and a tensor is constructed from the exacted features and the image. Subsequently support Tucker machines are employed for classification training with labeled samples. Lastly the trained support Tucker machines are employed for marine oil spills detection. The experimental results demonstrate that our proposed method is promising and superior to artificial neural network and support vector machines based methods in accuracy.

Date	2016-12-14T09:00:45Z 2016-12-14T09:00:45Z 2016-11

Type	Article

Identifier	0975-1033 (Online); 0379-5136 (Print) http://nopr.niscair.res.in/handle/123456789/38624

Language	en_US

Rights	CC Attribution-Noncommercial-No Derivative Works 2.5 India

Publisher	NISCAIR-CSIR, India

Source	IJMS Vol.45(11) [November 2016]

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