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Image registration is a fundamental image processing task to match and align physically two images which could have been imaged by different sensors, view angles and/or at different times. While registering the satellite images, there are several unique challenges like cloud pixels, noise in the images, systematic errors, multispectral images, terrain induced distortions, etc. Through image registration techniques, we are finding a proper geometric transform between two images that can align corresponding points in them. It is the foundation of applications, such as image fusion, medical image processing, remote sensing and threedimensional (3D) image reconstructions. Remote sensing is one of the fields that have benefited most from image registration technique for stitching the reference and sensed images to get a larger view of the scene. The paper presents the Least Square-Support Vector Machine (LS-SVM) which has very strong theoretical foundation based on statistical learning theory. The experimental results demonstrate that global deformations can be well registered by LS-SVM-based multiview image registration. [ABSTRACT FROM AUTHOR]

ZigBee is one of the latest technologies developed by the ZigBee Alliance to enable Wireless Personal Area works. ZigBee technology has better characteristics when compared with other wireless standards such as WI-FI, Bluetooth and WiMAX, and so on. Though the transmission range in ZigBee ranges up to a few meters, the network has several layers, designed to enable interpersonal communication within the network, appropriate routing technique can lead the data to be reached to a longer distance, leading to an increase in the transmission range. Present research emphases on the maximization of the transmission range in the ZigBee network. For the analysis, the Simulink based software called TRUETIME 2.0 in MATLAB tool is used. Energy Efficient ZigBee based AODV routing protocol with incorporated CSMA-CA MAC channel access (EE-ZAODVCSMA) is proposed for maximizing the transmission range in the ZigBee network. To maximize the transmission range, various soft computing techniques such as Fuzzy Logic, Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and one more technique which is an integration of ANN and Genetic Algorithm are applied to the network. A small ZigBee network is implemented with four nodes on LPC 2148 to show the data communication based on the proposed algorithm. [ABSTRACT FROM AUTHOR]