Affiliations: Department of Computer Science and Engineering
Jadavpur University, Kolkata 700 032, India. E-mail: {patra_swarna,susmita_de}@rediffmail.com | Machine Intelligence Unit and Center for Soft
Computing Research Indian Statistical Institute, B.T.Road, Kolkata 700 108,
India. E-mail: ash@isical.ac.in
Note: [] Address for correspondence: Machine Intelligence Unit, Indian
Statistical Institute, 203 B. T. Road, Kolkata 700 108, India
Abstract: A context-sensitive change-detection technique based on
semi-supervised learning with multilayer perceptron is proposed here. In order
to take contextual information into account, input patterns are generated
considering each pixel of the difference image along with its neighboring
pixels. A heuristic technique is suggested to identify a few initial labeled
patterns without using ground truth information. The network is initially
trained using these labeled data. The unlabeled patterns are iteratively
processed by the already trained perceptron to obtain a soft class label.
Experimental results, carried out on two multispectral and multitemporal remote
sensing images, confirm the effectiveness of the proposed approach.
