Abstract: On the issues about the robustness in visual object tracking, based on Principal Component Analysis (PCA) and Convolutional Neural Network (CNN), a novel visual tracking algorithm with deep feature, which is acquired from a easily initialized CNN str...
Abstract: The registration and fusion are the two essential steps to get a composed image from the multispectral infrared images in the night vision. However, at present these two processes are considered as two independent steps, where the registration error ...
Abstract: A fast visibility restoration method of single image by progressive scene transmission estimation is proposed. Based on the boundary conditions of scene radiance and the atmosphere scattering model, the initial value of the scene transmission is esti...
Abstract: A rotation-invariant feature descripts method called Rotation Invariant Histogram of Oriented Gradients (RI-HOG) is proposed for automatic target recognition. RI-HOG calculates gradient of image first, then the image window is divided into a set of u...
Abstract: Existing unsupervised feature learning algorithms usually extract features in RGB color space, but YUV color space is widely adopted in image and video compression standards. In order to take advantage of human visual characteristics and avoid the ca...
Abstract: The most popular approach in object classification is based on the bag of visual-words model. However, there are several fundamental problems that restricts the performance of this method, such as low time efficiency, the synonym and polysemy of visu...
Abstract: In the practical application, non-rigid point set registration should be robust for noise, occlusion or outliers. In this paper, Gaussian Mixture Model (GMM) and neighborhood structure information are used for the non-rigid point set registration. Ga...
Abstract: To address the online time series prediction problem in CPS (Cyber-Physical System) system, both KAF (Kernel Adaptive Filter) with low computation complexity and adaptive characteristic and FPGA computing system are employed. A novel FPGA implementat...
Abstract: Vision-based agricultural vehicle navigation has become a popular research area of automated guidance, however, crop row detection in high weeds field is still a challenging topic. An image segmentation method mainly based on frequency and color info...
Abstract: Vertical parameters estimation of forest is one of the most important applications in the Polarimetric Interferometric SAR (PolInSAR). On the basis of the Radom Volume over Ground (RVoG) model, the topographical phase and the tree height in forest ar...
Abstract: To solve the problem of two dimensional angles estimation for MIMO radar with cross array, a new reduced-dimensional Direction Of Arrival (DOA) estimation method based on ESPRIT algorithm is proposed. Through the reduced-dimensional matrix design and...
Abstract: The micro-Doppler signatures can be utilized to the estimation of the motion and structure parameters of the targets. In this paper, based on the effective point scatterer model of the cone-skirt shaped target, the formulas of micro-Doppler induced b...
Abstract: Feature extraction is a key step in SAR image target recognition. The existence of speckle and discontinuity makes the conventional methods for natural images difficult to apply. Although Deep Belief Networks (DBNs) can be used to learn feature repre...
Abstract: The traditional highly squint SAR imaging algorithm reduces the difficulty in range migration correction by using the time-domain linear walking, and improves the azimuth focusing effect by applying non-linear scaling algorithm. However, the variable...
Abstract: To enhance the mapping ability of artificial neural networks, by studying the mapping mechanism of hidden layer neurons, a new idea of designing neural networks model based on rotation of qubits in the Bloch sphere is proposed in this paper. In the p...
Abstract: In a passive Ultra-High Frequency (UHF) Radio Frequency IDentification (RFID) system, when multiple tags choose a same time slot to send information to a reader, tag collision will occur. Generally, the collision is resolved only on a Medium Access C...
Abstract: In order to improve image information uncertainty measurement of the Multiple-scale Structural SIMilarity (MSSIM), a novel algorithm called iMSSIM based on internal generative mechanism is proposed, combining with Human Visual System (HVS). Firstly, ...
Abstract: The current Biclique attack is the only key recovery method for the full AES faster than brute-force, but how to get a new Biclique structure or all Biclique structures for AES has not been resolved. This paper designs algorithms to find all Biclique...
Abstract: Chaos wireless digital communication is an important development direction of high security wireless communication in the future. Chaos code synchronization is one core technology. According to characteristics of chaos wireless communication, a metho...
Abstract: For future railway wireless communication networks, it is an effective way to adopt higher frequency spectra with broader bandwidth to enhance the transmission capacity. Nevertheless, massive beamforming techniques are needed to overcome the severe p...
Abstract: ProtoGraph-based Low Density Parity Check (PG-LDPC) codes have many advantages over the conventional LDPC codes, such as simple structure, low iterative decoding threshold, easy extension and linear encoding/decoding complexity. After investigating t...
Abstract: Traditional chaotic detection methods have many problems, such as low criterion accuracy and delay state response. To cope with these problems, a weak signal detection method based on dominative frequency power ratio derived from systems first-order ...
Abstract: A novel Direction-Of-Arrival (DOA) estimation algorithm based on spatial smoothing and sparse reconstruction is proposed in this paper. Firstly, the covariance matrix is processed using spatial smoothing theory, and it is converted with the Khatri-Ra...
Abstract: In order to enhance the whole quality of single channel speech enhancement denoising algorithm, both noise reducing and speech perception are considered to improve the traditional speech enhancement algorithm and many kinds of processing methods are ...
Abstract: In a conventional narrowband active noise control system, each narrowband component is cancelled separately, but each control coefficient is still updated by the overall residual error of the system. This leads to the interferences among the controll...
Abstract: In 3D forward problem of Magnetic Induction Tomography (MIT), the problems are slow computation speeds and incorrect results due to round-off errors, when calculating the finite element equations with the direct method. Incomplete Cholesky Conjugate ...
Abstract: In order to solve the problem of connecting the wireless sensor network with the Internet in Cyber- physical systems, a gateway deployment algorithm based on differential evolution is proposed. This algorithm uses the differential evolution algorithm...
Abstract: The large scale and the coarse classification granularity of resources in literature knowledge bases lead to disorientation and overloading when learners retrieve and read papers. This paper proposes a mechanism of knowledge clustering and knowledge ...
Abstract: Study on the relativities of the tropospheric microwave trans-horizon propagation above ocean surface and the marine atmospheric environment characteristics has important significance for the short-term prediction of the trans-horizon propagation and...
Abstract: Space-Time Adaptive Processing (STAP) is effective to suppress wideband jammers in satellite navigation system. But in high-dynamic environment, the conventional STAP anti-jamming algorithms are invalid since jammers may easily move out of the array ...
Abstract: Continuous Wave Interference (CWI) can induce large code tracking error, and the tracking error analysis based on small error conditions becomes invalid. Under large error conditions, since code loop discriminator is no longer working in the linear r...
Abstract: Throughout the progress of spaceborne Synthetic Aperture Radar (SAR) technology, it is switching from traditional specific technology breakthrough to concept and system innovation. Nowadays various application- oriented new systems and new models are...
Abstract: This paper proposes Regularized Semi-Supervised ISOmetric MAPping (Reg-SS-ISOMAP) algorithm to solve the problem that ISOmetric MAPping (ISOMAP) algorithm is unsupervised and can not generate explicit mapping function. At first, this algorithm create...