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A novel method is presented to recognize warheads in the ballistic missile defense. The normalized correlation coefficients and further the matching scores between range profiles (RPs) of warhead are first calculated. By introducing a threshold, the warhead and decoy can be separately classified. The distribution of these results is then modeled as a mathematical model. Based on such distribution,...
A Protocol Strategy of Device Management for lighting control system in ACN is analyzed. Through Petri based formal verification, a Petri model of DMP is built. The rationality of the model is validated. The reliability and circulation characteristics are also proved. Through Rationality, Reliability and circulation characteristics, we prove that DMP is reachable. The Protocol Strategy of Device Management...
Traditional multi-class image classification needs a large number of training samples for building a classifier model. However, it is very time-consuming and costly to obtain labels for a large number of training samples from human experts. Active learning is a feasible solution. This paper proposes a maximum classification optimization method (MCO) for actively selecting unlabeled images to acquire...
The systematic errors exist in each survey line and with different features in different survey lines, which greatly influence the precision of survey products. The influences of the systematic errors to the interpolation precision have been analyzed, and the influencing rule of the systematic errors on the contour lines on magnetic anomaly map have been discussed. The simulations showed that the...
In order to simplify the dense data of point cloud efficiently, this paper proposes an algorithm which is quick and easy to simplify the point cloud based on the standard deviation of the normal vector. First of all, the normal distribution have to be calculated after getting the dense point cloud data which has been down sampled. Second of all, calculate the separation threshold value between the...
We propose a method for estimating the rectification homography of ground plane image using the plane's vertical vanishing point. First, the method computes the image of the horizon by a vertical prism pole in the image. Then, the two imaged circular points of the ground plane are computed from the image of absolute conic and the imaged horizon. At last, the image rectification is computed from the...
With the development of wireless frequency monitoring equipment, passive localization of multi-targets has become one of the most popular research hotspots. In this paper, by using the characteristic of multi-sensors passive location based on time difference of arrival (TDOA) and the continuity of TDOA at different times, a TDOA based Data Association and multi-targets passive localization algorithm...
Least Square (LS) estimation is a simple but not good enough for localization method which is widely used for target position estimation. The time difference of arrival (TDOA) location based on LS method needs to select a reference sensor to obtain a series of equations. Thus, the measured error of the selected first sensor will certainly influence the location accuracy. In our article, an algorithm...
In this paper, turning workpiece surface images were captured by the image acquisition system composed of digital microscopy, high-resolution camera and computer. the 14 texture feature parameters based on gray level co-occurrence matrix (GLCM) were extracted by using the method of statistical analysis, The variation between each texture parameter and arithmetic mean deviation (Ra) was investigated,...
In imaging process of digital cameras, digital number (DN) of images is often automatically compensated for effectiveness of human vision. In this study, DN correction based on gamma transformation theory is combined with a look-up table method to convert the output DN into a calibrated digital number (cDN). Then, the leaf area index (LAI) of paddy rice is estimated from gap fraction measurement in...
In the paper we present an increment coefficient method used in face recognition which is also a linear representation-based method. Different from traditional linear representation-based method, for every class, we develop a linear model representing a virtual sample as a linear representation of the class-specific training sample and the testing sample. In the model, the virtual sample is the mean...
A new method for color image denoising is presented. This work considers three color channels as a whole by using quaternion diffusion. We use concept of topological sensitivity analysis. The diffusion coefficients are computed by a proposed cost function of the Topological Derivative. Finally, the effectiveness of this method for color image restoration is verified by several numerical experiments...
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