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Region of interests extraction based on visual saliency for remote sensing image

Region of interests extraction based on visual saliency for ...

引用

IET International Radar Conference 2015

作者： Ma, Long Xu, Bin Bi, Fukun Chen, He Yu, Ying Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China Beijing Remote Sensing Information Institute Beijing100192 China School of Electronic Information Engineering North China University of Technology Beijing100144 China School of Information Science and Engineering Yunnan University Kunming650091 China

ISBN: (纸本)9781849199940

This paper proposes a novel region of interests extraction method for remote sensing image based on visual saliency analysis as well as the multi-scale saliency fusion mechanism. Firstly, under the theory of multi-scale and multiresolution analysis, the gaussian pyramid representation is generated. Then, various spatial features are exploited to compute saliency maps under different scales. Finally the saliency map could be calculated by the corresponding level fusing as well as the across-scale combination. The comparative experiments validate the effectiveness of the proposed model.

关键词： Extraction

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A new microcalcification detection method in full field digital mammogram images 11th

A new microcalcification detection method in full field digi...

引用

11th International Conference on Intelligent Computing, ICIC 2015

作者： Liu, Xiaoming Mei, Ming Sun, Weiwei Liu, Jun College of Computer Science and Technology Wuhan University of Science and Technology Wuhan430065 China Hubei Province Key Laboratory of Intelligent Information Processing Real-time Industrial System Wuhan China

ISBN: (纸本)9783319221793

Breast cancer is a great threat for women around the world. Mammography is the main approach for early detection and diagnosis. Microcalcification (MC) in mammograms is one of the important early signs of breast cancer. Their accurate detection is important in computer-aided detection (CADe). In this paper, we proposed a new Microcalcification detection method for full field digital mammograms (FFDM) by integrating Possibilistic Fuzzy c-Means (PFCM) clustering algorithm and weighted support vector machine (WSVM). The method includes a training process and a testing process. In the training process, possible microcalcification regions are located and extracted. Extracted features are selected with mutual information based technique. Positive and negative samples are weighted with PFCM and used to train a weighted SVM. A similar procedure is performed on test images. The proposed method is evaluated on a database of 410 clinical mammograms and compared with a standard unweighted support vector machine classifier. © Springer International Publishing Switzerland 2015.

关键词： Mammography

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Pulse repetition frequency design for geosynchronous SAR in ellipcial orbit

Pulse repetition frequency design for geosynchronous SAR in ...

引用

IET International Radar Conference 2015

作者： Yin, Wei Yang, Wenfu Ding, Zegang Liu, Wei Zhang, Qingjun Ren, Jingjing Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Research Lab. Beijing Institute of Technology Beijing100081 China China Academy of Launch Vehicle Technology Beijing100076 China Beijing Institute of Spacecraft System Engineering CAST Beijing100094 China

ISBN: (纸本)9781849199940

Elliptical orbit and squint mode are widely used in the system design of geosynchronous synthetics aperture radar (GEO SAR) to improve the coverage performance. In this paper, the effects of orbit height variation and squint mode to pulse repetition frequency (PRF) design are analyzed. The orbit height variation causes the variation of nadir interference and beam illumination region, and squint mode produces large range cell migration (RCM). These can induce invalidations of the designed PRF. Based on this, the constraints of nadir interference and transmit interference are updated for GEO SAR, and the effective time for the designed PRF is derived. PRF number required for imaging in one orbital period is analyzed.

关键词： Synthetic aperture radar

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A selection method of frequency combination in MF-InSAR system

A selection method of frequency combination in MF-InSAR syst...

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IET International Radar Conference 2015

作者： Qi, Yalin Zhang, Qi Yang, Wenfu Yang, Shuangjing Liu, Tiandong Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Research Lab. School of Information and Electronics Beijing Institute of Technology Beijing100081 China China Academy of Launch Vehicle Technology Beijing100076 China Beijing Institute of Spacecraft System Engineering CAST Beijing100094 China

ISBN: (纸本)9781849199940

As an extension of the Interferometric Synthetic aperture radar (InSAR), the multi-frequency InSAR can realize high-accuracy elevation extraction of the steep terrain. Though the maximum likelihood estimation (MLE) is widely used in the signal processing of multi-frequency InSAR, the performance of this method can be influenced by the selection of frequency combination. At the beginning, this paper analyses the elevation estimated effectiveness of different frequency combinations from the aspect of Cramer-Rao Lower Bound (CRLB). Then, it calculates the ambiguity cycle as a further filter for the optimal frequency combination. Finally, this paper discusses the adaptability to the phase noise with the help of Monte Carlo simulation strategy. In consideration of these three aspects, a selection method of frequency combination is proposed, and further simulation results are provided in quantity. Relevant researches can be used in the design of multi-frequency InSAR system.

关键词： Phase noise

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Subarray partition method based on division position coding genetic algorithm

Subarray partition method based on division position coding ...

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IET International Radar Conference 2015

作者： Wen Xi Xiaopeng Yang Yuze Sun Tao Zeng Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing 100081 China

This paper proposed a genetic algorithm based on division position coding to solve the optimization of subarray partition in monopulse application, which aims at finding the best compromise between sum and difference patterns. In the proposed method, the division position is encoded as a chromosome gene, then the initial population is randomly generated by a series of non-repeated integers, and the fitness calculation and genetic operation are subtly designed to improve the convergence and stability. Various numeral simulation results are presented to verify the effectiveness of the proposed method.

关键词： division position coding genetic algorithm subarray partition Genetic Algorithm (GA) subarray Genetic Code Difference pattern Division division

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Joint slow/fast-time pulse diversity method for countering range gate pull off jamming

Joint slow/fast-time pulse diversity method for countering r...

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IET International Radar Conference 2015

作者： Wei Li Wei Liu Liyong Guo Xiaopeng Yang Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781510822023

The range gate pull off (RGPO) jamming is considered as common electronic countermeasures (ECM) technique used to deceive radar tracking system. Under the stationary assumption, traditional slow-time pulse diversity approach needs several pulse repetition intervals (PRIs). However in the presence of RGPO, jamming signals would change fast over PRIs, making stationary hypothesis invalid. Therefore in order to solve this problem, a jamming cancelation approach based on the theory of pulse diversity is proposed in this paper to suppress deception RGPO jamming. In the proposed method, different from the conventional slow-time method, the proposed joint slow/fast time method implements a transmission pulse block in half quantity of PRI, which is designed based on the orthogonal block structure. Then after a simple one-step matched-filtering operation, jamming signal under RGPO can be suppressed efficiently. Since the cancellation process can be completed within one PRI, the stationary hypothesis is no longer needed. Based on the numeral simulations, it is verified that the proposed method is effective for countering RGPO jamming in rapidly changing condition.

关键词： digital radio frequency memory electronic counter-countermeasures joint slow/fast time pulse diversity matched-filtering range gate pull off (RGPO) jamming

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Derivative constrained Gram-Schmidt orthogonalization beamforming method with widened nulls

Derivative constrained Gram-Schmidt orthogonalization beamfo...

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IET International Radar Conference 2015

作者： Xiaona Hu Yuanyuan Song Yuze Sun Xiaopeng Yang Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781510822023

The performance of the conventional Gram-Schmidt orthogonalization of covariance matrix (RGS) beamforming method will decrease significantly when non-ideal factors exists such as the appearances of fast moving interferences, array platform movement. In order to improve the robustness of interference suppression, a derivative constrained Gram-Schmidt orthogonalization of covariance matrix (CRGS) beamforming method with widened nulls is proposed in this paper. In the proposed method, the number of interference P is initially estimated and the first subspace is reconstructed by Gram-Schmidt orthogonalization of the first P columns of sample covariance matrix. Afterwards, the derivative constrained vectors and the second subspace spanned of these vectors are constructed. At last the adaptive weight vector is obtained by orthogonally projecting the quiescent weight vector onto the interference subspace made up of the first subspace and the second subspace. Based on the numeral simulation results, it is verified that the proposed method can form widened nulls and effectively improve the robustness of interference suppression.

关键词： Gram-Schmidt orthogonalization adaptive beamforming derivative constraint widened null

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Robust sound recognition method based on human auditory bionic processing

Robust sound recognition method based on human auditory bion...

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IET International Radar Conference 2015

作者： Yuqing Li Xiaopeng Yang Yuze Sun Cheng Hu Tao Zeng Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing 100081 China

The sound recognition is considered as an effective tool to improve the performance of man-machine interaction. However, because of the non-ideal effect during the propagation and the extensive variation range of sound signal, it is quite difficult to achieve high accuracy target sound recognition for conventional sound recognition methods. In order to improve the performance of sound recognition, a robust sound recognition method based on human auditory bionic processing is proposed in this paper. In the proposed method, by analyzing the major function of human auditory system, the mathematical model of human auditory system is firstly developed to simulate the sound propagation in human auditory physiological processing. Then by extracting the muti-dimensional eigenvectors of the auditory spectrum, the feature of target sound signal is obtained. Afterwards, the recognition and classification of sound signal is achieved by the back-propagation (BP) neural network method. Based on the simulation of actual sound signal, it is verified that the proposed method can effectively simulate the sound propagation and achieve desirable sound recognition performance under noise condition.

关键词： back propagation neural network feature extraction human auditory system muti-dimensional eigenvectors sound recognition Speech recognition audio signals Auditory System Feature extraction sound propagation back-propagation network bionics

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Improved orthogonal projection adaptive beamforming based on normalization at subarray level

Improved orthogonal projection adaptive beamforming based on...

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IET International Radar Conference 2015

作者： Shuai Li Xiaopeng Yang Xiaona Hu Liyong Guo Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781510822023

Orthogonal projection (OP) adaptive beamforming is widely applied in practical scenarios because of strong robustness. However, the performance of traditional OP adaptive beamforming would degrade severely when OP adaptive beamforming is applied at subarray level, especially in asymmetrical subarray configuration. To overcome this problem, the improved orthogonal projection (IOP) adaptive beamforming based on normalization at subarray level is proposed. In the proposed method, the covariance matrix is firstly modified by normalizing the noise power at subarray level. Subsequently, the interference subspace is estimated by eigenvalue decomposition, and then the adaptive weight is calculated by using OP adaptive beamforming. Numeral simulation results show that the proposed method at subarray level outperforms the traditional OP adaptive beamforming and the output signal-to-interference-plus-noise ratio (SINR) is close to the optimum value. The proposed method can be significantly effective in practical applications.

关键词： adaptive beamforming covariance matrix normalization orthogonal projection subarray level

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Iterative roubust sparse recoery method based on focuss for space-time adaptive processing

Iterative roubust sparse recoery method based on focuss for ...

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IET International Radar Conference 2015

作者： Xiaopeng Yang Yuze Sun Tao Zeng Teng Long Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9781510822023

Conventional Space-time adaptive processing (STAP) requires large numbers of independent and identically distributed (i.i.d.) training samples to ensure the clutter suppression performance, which is hard to be achieved in nonhomogeneous environment. In order to obtain improved clutter suppression with small training support, an iterative sparse recovery STAP algorithm is proposed in this paper. In the proposed method, the clutter spectrum sparse recovery and the calibration of space-time over-complete dictionary are implemented iteratively, modified focal underdetermined system solution (FOCUSS) with recursive calculation is used to alleviate the recovery error and reduce the computational cost, meanwhile the mismatch of space-time overcomplete dictionary is calibrated by minimized the cost function. Based on the simulated and the actual data, it is verified that the proposed method can not only converge with much smaller training samples compared with conventional STAP methods, but also provide improved performance compared with existing sparsity-based STAP methods.

关键词： FOCUSS STAP robust small training support sparse recovery

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