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In this paper we present a new method for aircraft tracking in color video sequences based on contour and kernel. The aim of this work is to overcome the problem of losing target in changing light conditions, large displacement, speed changing, and occlusion. In fact, we want to achieve an exact contour of the target in each frame of the video. The proposed method is made in three steps, estimating...
Spectral unmixing is an active research area in remote sensing. The direct use of the spectral libraries in spectral unmixing is increased by increasing the availability of the libraries. In this way, the spectral unmixing problem is converted into a sparse regression problem that is time-consuming. This is due to the existence of irrelevant spectra in the library. So these spectra should be removed...
Spectral Unmixing algorithms use two linear and non-linear mixing models to determine the relative abundances of the materials in a remotely sensed image. Hyperspectral images are often treated as a Linear Mixture Model (LMM), where the image pixels are described by a linear combination of the spectra of pure materials. In LMM, the abundances are non-negative and sum of them must be one. Linear Unmixing...
One of the features of the Next Generation Wireless Networks (NGWNs) is its heterogeneous communication environment. Heterogeneous networks are ranging from wireless WAN, LAN, MAN and PAN. The most important parameters in this regard are different data rates and coverage of these networks. In this paper, we propose an evolvable fuzzy logic-based algorithm for managing handover process in heterogeneous...
One of the most important stages of image processing is image segmentation to extract different features. In this paper, we present a region-based algorithm for multi spectral image segmentation using evolutionary strategies (ESs). We use ES to find the center of regions of the image and then classify it using Euclidean or angular distances. We also use different indices to evaluate the fitness of...
Wireless sensor networks have become a rapidly developing research area that offers some ways of monitoring the environment and bridging the gap between the physical and virtual world. Visual Sensor Networks consist of a large number of low-power camera nodes to monitor a general environment with some targets in it. One of the most important problems in this context is energy conservation and covering...
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