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The Doppler shift effect results in some targets shadows in theirs actual position, and a strong correlation exists between adjacent frames of Video Synthetic Aperture Radar (VideoSAR) imagery. Based on the above rationale, a novel approach to moving targets shadow detection for high-frame-rate VideoSAR imagery sequence is presented. First, a fast preprocessing stage is essential in real applications,...
Understanding the user mobility is essential to resource optimization and algorithm evaluation in mobile networks, such as network planning, content distribution, and evaluation of hand-over mechanisms. Existing human mobility models focus on extracting mobility patterns from Call Detail Records (CDRs) or WiFi traces. While the former only captures movements during phone calls, the latter does not...
This paper is mainly concerned with the problem of how to set the initial conditions of two-dimensional(2-D) block Kalman filter on degraded image for image restoration. The proposed approach incorporates layering and interpolation process into the degraded image that has been corrupted by blur and additive noise. The innovation of this paper are setting reasonable filtering initial conditions which...
In this paper, Considering both positive(preference value is bigger and better) and negative(preference value is smaller and better) factors that affect the risk of software project risk assessment, The coordinate preference risk assessment model of software project based on DEA is established. Conception of risk surface is provided. By introducing fuzzy comprehensive evaluation method based on entropy...
The image segmentation of a robot binocular stereo vision system is the key issue in imaging processing. In this paper, the method of 2-d maximum entropy threshold image segmentation with Chaos PSO algorithm is used to segment the images information collected by a robot vision system, and the algorithm is checked by a real robot binocular stereo vision system. Moreover, compared with previous research,...
This paper proposes algorithms of image features extaction and identification by using seeking optimization capability of ant colony algorithm. The feature vectors of the identified images are regarded as the inputs of ant colony algorithm based on the information entropy. By the algorithms proposed by this paper, the features which cost the least time and whose identification effect are the best...
For the robot vision system in apple harvesting robot, a new image segmentation method based on entropy clustering is proposed in HSI color space. Firstly, noise was wiped off by using weighted algorithm of median filtering in HSI color space instead of traditional algorithm in RGB model; secondly, Hue and Saturation components were extracted to do entropy clustering with their independence with Intensity,...
Input-output tables provide a complete picture of the flows of products and services in the economy for a given year. Data mining is the process of analyzing data to discover patterns and relationships, which allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Based on Chinese input-output tables of Statistical Yearbook...
Adaptation helps retinal ganglion cells encode varying visual signals. However, an index for population adaptation is still lacking. In present study, we applied entropy theory to characterize the process of adaptation for a group of ganglion cells under the stimulus of both full-field white light and pseudorandom checker-board. We noticed that entropy rate shared the same trend with meaning firing...
In the present correspondence, by constructing a system of linear equations, computing the inverse of Vander-monde matrices and solving two counting problems, a condition of Xing used to choose specific divisors, using which one can get Goppa geometric codes achieving the Gilbert-Varshamov bound, is improved. Consequently, more Goppa geometric codes achieving the Gilbert-Varshamov bound can be obtained.
In this paper, we introduce an image alignment method by maximizing a Tsallis entopy-based divergence using a modified simultaneous perturbation stochastic approximation algorithm. Due to its convexity property, this divergence measure attains its maximum value when the conditional intensity probabilities between the reference image and the transformed target image are degenerate distributions. Experimental...
Image fusion, widely used in remote sensing, is an efficient method to combine the high spatial information in panchromatic (Pan) image with the essential spectral information in mutispectral (MS) images. In most fusion methods, distortion of spectral information or spatial information commonly exists in the resulting image. The component substitution (COS) fusion methods always merge Pan and MS images...
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