Aakanksha Rana

Intern, INRIA Sophia Antipolis

Keywords: Graph-cut Approach, Spectral-Spatial Classification, Alpha Expansions, SVM .

Contact:
Mail: aakankshadotranaatinriadotfr
Phone: (33)7-53-07-76-58
Fax: (33)4-92-38-76-43
Postal address: INRIA Sophia Antipolis , 2004, route des Lucioles, 06902 Sophia Antipolis Cedex, France
Webpage: visit!

Abstract:

My work at INRIA from July, 2013 to September, 2013 concerns with development of a new graph-based model for spectral-spatial classification of hyperspectral images, based on a graph-cut approach. This work deals with the choice of discriminative models and interaction terms between neighboring spatial structures. The developed method will be tested for classification of agricultural areas, and compared with the ground truth as well as previous spectral-spatial classification techniques.

Short Bio:

Aakanksha Rana is a student of Master of Engineering at Télécom Paristech (ENST Paris) in the field of Multimedia Communication Technologies and currently pursuing her studies at EURECOM Campus , Sophia Antipolis.
She has received the degree “Bachelors of Technology” (B.Tech) in Electrical Engineering from National Institute of Technology, Kurukshetra, India in 2012.
Her Major Areas of interests include Image & Signal processing, Computer Vision, Object tracking and Biometrics.