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Extending the wireless sensor network's lifetime has been the aim of several research efforts. Distributed in-network processing arises as a viable solution to extend the network's lifetime. It avoids assigning heavy computations to a single node which might otherwise lead to its significant energy depletion. Task scheduling and allocation play a major role in the efficiency of the distribution. This...
The land use or land cover map depicts the physical coverage of the Earth's terrestrial surface according to its use (viz. vegetation, habitation, water body, bare soil, artificial structures etc.). Land use map generation from remotely sensed images is one of the challenging task of remote sensing technology. In this article, motivated from group forming behaviour of real ants, we have proposed two...
Segmentation, or partitioning images into internally homogeneous regions, is an important first step in many computer vision tasks. In this paper, we attack the segmentation problem using an ensemble of low cost image segmentations. These segmentations are reconciled by applying recent techniques from the consensus clustering literature which exploit a non-negative matrix factorization (NMF) framework...
This paper applies the differential evolution (DE) algorithm to the task of automatic fuzzy clustering in a Multi-objective optimization (MO) framework. It compares the performances of four recently developed multi-objective variants of DE over the fuzzy clustering problem, where two conflicting fuzzy validity indices are simultaneously optimized. The resultant Pareto optimal set of solutions from...
In this paper two fuzzy clustering algorithms, namely fuzzy C-means (FCM) and Gustafson Kessel clustering (GKC), have been used for detecting changes in multitemporal remote sensing images. Change detection maps are obtained by separating the pixel-patterns of the difference image into two groups. To show the effectiveness of the proposed technique, experiments are conducted on three multispectral...
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