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dvancement in communication and computation technologies is destined to change the way we live and work in our everyday lives. Researchers and technology leaders envision a future immersed in " wireless communication and computation, distributed sensing , and embedded systems " that will play a pivotal role in realizing this Network Utopia — a world of "(More)
—In this paper, we propose a context-sensitive technique for unsupervised change detection in multitemporal remote sensing images. This technique is based on a modified Hopfield neural network architecture designed to model spatial correlation between neighboring pixels of the difference image produced by comparing images acquired on the same area at(More)
Keywords: Remote sensing Change detection Multi-temporal images Fuzzy clustering Fuzzy c-means clustering Gustafson–Kessel clustering Genetic algorithms Simulated annealing Xie–Beni validity measure a b s t r a c t In this paper, we propose a context-sensitive technique for unsupervised change detection in multitemporal remote sensing images. The technique(More)
Ants, bees and other social insects deposit pheromone (a type of chemical) in order to communicate between the members of their community. Pheromone, that causes clumping or clustering behavior in a species and brings individuals into a closer proximity, is called aggregation pheromone. This article presents a new algorithm (called, APC) for clustering data(More)
The study of ant colonies behavior and their self-organizing capabilities is of interest to machine learning community, because it provides models of distributed adaptive organization which are useful to solve difficult optimization and classification problems among others. Social insects like ants, bees deposit pheromone (a type of chemical) in order to(More)
In this paper, we propose an unsupervised context-sensitive technique for change-detection in multitemporal remote sensing images. Here a modified self-organizing feature map neural network is used. Each spatial position of the input image corresponds to a neuron in the output layer and the number of neurons in the input layer is equal to the number of(More)
Ants, bees and other social insects deposit pheromone (a type of chemical) in order to communicate between the members of their community. Pheromone that causes clumping or clustering behavior in a species and brings individuals into a closer proximity, is called aggregation pheromone. This paper presents a novel method for image segmentation considering(More)
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 pix-els. A heuristic technique is suggested to identify a few initial(More)