Friday 26th of April 2024
 

Automated Classification of SAR Images Using Moment


Debabrata Samanta and Gautam Sanyal

Moment of images provides efficient descriptors and has been used in different image analysis application. The main advantage is their ability to provide invariant characteristic. In this paper a novel methodology has been carried out to classify SAR images using the Moments. This paper also provides the overview of most commonly used of moments and then present a moment based approached for classification of SAR images. A comparison has been carried out with histogram based classification on same images for measuring the accuracy.

Keywords: Moments; complex moments; raw moment;classification.

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ABOUT THE AUTHORS

Debabrata Samanta
Debabrata Samanta is a member of the IAENG. He obtained his B.Sc. (Physics Honors) in the year 2007, from the Vivekananda Collage, Takurpukur, under Calcutta University; Kolkata, India .He obtained his MCA in the year 2010, from the Academy Of Technology, under WBUT. He is working his PhD in Computer Science and Engg. from the year 2010 from National Institute of Technology, Durgapur, India in the area of Image Processing .He is presently working as a Lecturer of CSE in Abacus Institute of Engg. And Management, West Bengal, India. His areas of interest are Artificial Intelligence, Natural Language Processing and Image Processing. He has published 13 papers in International Journals / Conferences.

Gautam Sanyal
Gautam Sanyal is a member of the IEEE. He has received his B.E and M.Tech degree from National Institute of Technology (NIT), Durgapur, India. He has received Ph.D. (Engg.) from Jadavpur University, Kolkata, India, in the area of Robot Vision. He possesses an experience of more than 25 years in the field of teaching and research. He has published nearly 63 papers in International and National Journals / Conferences. Two Ph.Ds (Engg) have already been awarded under his guidance. At present he is guiding six Ph.Ds scholars in the field of steganography, Cellular Network, High Performance Computing and Computer Vision. He has guided over 10 PG and 100 UG thesis. His research interests include Natural Language Processing, Stochastic modeling of network traffic, High Performance Computing, Computer Vision. He is presently working as a Professor in the department of Computer Science and Engineering and also holding the post of Dean (Students’ Welfare) at National Institute of Technology, Durgapur, India.


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