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Seminar Details


Date 25-5-2009
Time 9:30
Room/Location DISI-Sala conferenze 3 piano
Title Evolutionary Algorithms for Protein Ligand Docking
Speaker Prof. Ashish Ghosh
Affiliation Indian Statistical Institute, Kolkata, India
Link https://www.disi.unige.it/index.php?eventsandseminars/seminars
Abstract In remote sensing applications, change-detection is the process of identifying differences in the state of an object or phenomenon by analyzing a pair of images acquired on the same geographical area at different times. In this lecture, we will propose a few unsupervised context-sensitive techniques for change-detection in multitemporal remote sensing images using modified versions of Hopfield"s neural network, a modified self-organizing feature map neural network and a multi-layer perceptron. Each spatial position of the input image corresponds to a neuron. The network is updated depending on some learning rule and when the network converges, status of output neurons depict a change-detection map. Experimental results, carried out on two multispectral and multitemporal remote sensing images, confirm the effectiveness of the proposed approaches. The approaaches are found to be robust and does not require any a'priori knowledge of distribution of input images.
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