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In this paper, a particle swarm optimization (PSO) based camera calibration approach is presented to determine the external and internal calibration parameters from the knowledge of a given set of points in object space. First, the image formation model for a pinhole camera is formulated in terms of a feed-forward neural network (NN) and then this neural network is trained using particle swarm optimization...
Current land use and cover (LUC) mapping is often made using high resolution images such as those from the Landsat TM/ETM+, SPOT, IKONOS, QuickBird sensors etc. However, the historical LUC information was often extracted from the earlier Landsat MSS images. Resultant land cover classification accuracy is often unsatisfactory for quantitative change analysis due to the limited number of spectral bands...
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