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This paper presents a novel classification method for high-spatial-resolution satellite scene classification introducing multiset aggregated canonical correlation analysis (MACCA)-based feature fusion to fuse and combine multiple features. Firstly, a superpixel representation of the scene is constructed by employing a high-efficiency linear iterative clustering algorithm. After that, three diverse...
For poor robustness issues of pitch detection of noisy speech, the improved pitch detection method combined with speech enhancement is proposed in this paper. Firstly, in order to reduce background noise and receive the clean speech relatively, we use the multi-band spectral subtraction and the masking properties of human auditory system to work on the noisy speech, and next use the energy and zero-crossing...
For the problem of Direct Sequence spread spectrum unbalance Quadrature Phase Shift Keying (DSSS/UQPSK) signal can't be detected easily, the method of the fourth-order cumulant detection is proposed in this paper. On the basis of the fourth-order cumulant of the Gaussian White Noise is equal to zero, Firstly, the paper analyzes the theory knowledge of direct sequence unbalance QPSK signal and the...
Proper parameter settings of support vector machine (SVM) and feature selection are of great importance to its efficiency and accuracy. In this paper, we propose a parallel adaptive particle swarm optimization algorithm to simultaneously perform the parameter optimization and feature selection for SVM, termed PTVPSO-SVM. It is implemented in an efficient parallel environment using PVM (Parallel Virtual...
An algorithm namely the TDOA-Camberra is proposed for the multi-target passive location in this paper. The algorithm uses the Camberra distance to associate the target data and do the optimal search, then uses the time difference of arrival (TDOA) to locate multiple targets passively once data from the same target is determined. At the same time, as the computing time of associating data using Camberra...
Positioning stages using piezoelectric stack actuators have been widely used in industrial applications. In this brief, we explore practical control algorithms that can achieve extreme precision motion tracking. Extreme precision is defined as the acquisition of tracking accuracy up to the hardware limit of a control system, for instance, the sensor resolution, the actuator resolution, the quantization...
A method of image matching by taking every fixed match pixel was proposed, then the images could be matched accurately in case of noise. the method was based on gray feature-based template matching, it took a long time for basic template matching to traverse to extract match points. According to this problem, the method that took every fixed matching pixel in template image and real-time image, and...
In this paper we investigate the classification performance of the compact polarimetric interferometric SAR (C-PolInSAR). The stressed compact modes are π/4 mode and CTLR mode, due to DCP mode equivalent to CTLR mode in theory. First, we provide a state-of-art of the C-PolInSAR modes, and present the different reconstruction algorithms aiming at recovering the full PolInSAR information from the observed...
Recently, many low-cost micro electro mechanical systems (MEMS) IMUs have emerged for only several hundred US dollars. In comparison to high-end IMUs, an entire Inertial Navigation System (INS) can be implemented with smaller size/volume, lower weight and costs. On the other hand, they have a relatively lower accuracy due to their larger systematic errors, such as bias, scale factor and drift, which...
In this paper, we present a study of extracting urban areas from Polarimetric Synthetic Aperture Radar (PolSAR) images using only positive samples. We solve this problem by learning a standard binary classifier (urban/non-urban) given an incomplete set of positive samples (urban) and a set of unlabeled samples (some of which are urban and some of which are non-urban) based on the work of Elkan and...
An optimization algorithm based on artificial life algorithm and particle swarm optimization (PSO) is proposed. The optimization includes two stages. In the first stage, artificial life system is created. As artificial life organisms have a sensing system, they can find the resource they want and metabolize it. The micro-interaction with each other in the artificial life's group results in emergent...
The modular fast direct analysis (MFD) method has been proposed to deal with a class of electromagnetic design problems that involve a fixed platform structure, which dominates the problem size, and a fixed design region that contains variable design structures. The former reported work focused on showing the efficiency of the MFD method and worked with separated platform and design regions. The Green...
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