DocumentCode :
2148420
Title :
Classification of sonar images using back propagation neural network
Author :
Sekeroglu, Boran
Author_Institution :
Near East Univ., Nicosia
Volume :
5
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
3092
Abstract :
Discovering our world has gained an importance. Oceans are the biggest unknowns of our world. There is a history and treasure lying at the sea floor. In every part of the world, scientific developments have been performed to get more information about them. In oceanic engineering, one of the most important things is experience. Sonar image classification system (SICS) had been developed to get a human experience and vision. Neural networks have an important part in the modeling of human decision-making processes to computers. They have been applied in many applications such as automotive, aerospace, medical robotics... etc. Because of its success in classification of images, back propagation learning algorithm has been applied to SICS
Keywords :
backpropagation; geophysical signal processing; image classification; image segmentation; neural nets; oceanographic techniques; oceanography; remote sensing; sonar imaging; back propagation learning algorithm; back propagation neural network; image segmentation; oceanic engineering; sonar image classification system; Back; History; Humans; Image classification; Neural networks; Oceanic engineering and marine technology; Oceans; Sea floor; Silicon carbide; Sonar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1370352
Filename :
1370352
Link To Document :
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