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| 1 | Object Detection Research of SAR Image Using Improved Faster Region-Based Convolutional Neural Network显示文摘Target detection technology of synthetic aperture radar(SAR)imageis widely used in the field of military reconnaissance and surveillance.The traditional SAR image target detection methods need to be provided a lot of empirical knowledge because the characteristics of SAR images in different configurations(attitude,pitch angle,imaging parameters,etc.)will change greatly,resulting in high generalization error.Currently,deep learning method has achieved great success in the field of image processing.Research shows that deep learning can achieve a more intrinsic description of the data,while the model has a stronger ability of modeling and generalization.In order to solve the problem of insufficient data in SAR data sets,an experimental system for acquiring SAR image data in real scenes was built.Then the transfer learning method and the improved convolution neural network algorithm(PCA+Faster R-CNN)are applied to improve the target detection precision.Finally,experimental results demonstrate the significant effectiveness of the proposed method. | Long SUN Tao WU Guangcai SUN Dazheng FENG Lieshu TONG Mengdao XING | 2020 | Journal of Geodesy and Geoinformation Science2020，3，3： | 13 |
| 2 | Multistage decomposition algorithm for blind source separation显示文摘A new algorithm for blind source separation is proposed, which only extracts the single independent component at each stage. The single independent component is acquired by an iterative algorithm for searching for the optimal solution of the defined cost function. Moreover, all the independent components are obtained by systematic multistage decomposition and multistage reconstruction. When there is spatially colored noise, the performance of this algorithm is advantageous over jointly approximated diagonalization of eigen-matrices (JADE). Simulated results show that if the number of source signals is more than 25, its computational complexity is lower than that of JADE. | FENG Dazheng, BAO Zheng and ZHANG Xianda(Key Laboratory for Radar Signal Processing, Xidian University, Xi’an 710071, China) | 2002 | Progress in Natural Science:Materials International2002，12，5： | 5 |
| 3 | Interfacial Voids Trigger Carbon-Based, All-Inorganic Cs Pb IBr2 Perovskite Solar Cells with Photovoltage Exceeding 1.33 V显示文摘A novel interface design is proposed for carbon-based,all-inorganic CsPbIBr2 perovskite solar cells(PSCs)by introducing interfacial voids between TiO2 electron transport layer and CsPbIBr2 absorber.Compared with the general interfacial engineering strategies,this design exempts any extra modification layer in final PSC.More importantly,the interfacial voids produced by thermal decomposition of 2-phenylethylammonium iodide trigger three beneficial e ects.First,they promote the light scattering in CsPbIBr2 film and thereby boost absorption ability of the resulting CsPbIBr2 PSCs.Second,they suppress recombination of charge carriers and thus reduce dark saturation current density(J0)of the PSCs.Third,interfacial voids enlarge built-in potential(Vbi)of the PSCs,awarding increased driving force for dissociating photo-generated charge carriers.Consequently,the PSC yields the optimized e ciency of 10.20%coupled with an open-circuit voltage(Voc)of 1.338 V.The Voc achieved herein represents the best value among CsPbIBr2 PSCs reported earlier.Meanwhile,the non-encapsulated PSCs exhibit an excellent stability against light,thermal,and humidity stresses,since it remains^97%or^94%of its initial e ciency after being heated at 85℃for 12 h or stored in ambient atmosphere with relative humidity of 30–40%for 60 days,respectively. | Weidong Zhu Zeyang Zhang Dandan Chen Wenming Chai Dazheng Chen Jincheng Zhang Chunfu Zhang Yue Hao | 2020 | Nano-Micro Letters2020，12，7： | 3 |
| 4 | Highly Efficient Surface-Search Algorithm for Adaptive FIR Filtering显示文摘 | ZHANG Bin ZHENG Weixing FENG Dazheng | 2007 | Chinese Journal of Electronics2007，16，2： | 2 |
| 5 | Reaction dynamics in the combustion synthesis system of Al-CrO_3-Al_2O_3-NaF-N_2-O_2显示文摘A new material with heat-resistant and adiabatic characteristics and high strength was prepared using the combustion syn- thesis method by mixed powders of CrO3, Al, Al2O3, and NaF in atmospheric gas. The reaction dynamic process of the Al-CrO3-NaF-Al2O3-N2-O2 new material system by the combustion synthesis method was discussed based on the observation results by SEM, EDS, and XRD in combination with the combustion front quenching method (CFQM) and the relation curves between re- action free enthalpies and the corresponding temperatures. The combustion synthesis mechanism and the formation reasons of the phase in the combustion product were analyzed. | Dazheng Yang Yue Zhang Degang Li Dianwei Qi Wei Deng Dayong Xun | 2007 | Journal of University of Science and Technology Beijing2007，14，3： | 2 |
| 6 | A novel algorithm for two-dimensional frequency estimation 显示文摘 | Zhou Yi Feng Dazheng and Liu Jianqiang | 2007 | Signal Processing2007，87，1： | 1 |
| 7 | A Novel Algorithm for Two-dimensional Frequency Estimation显示文摘 | Zhou Yi Feng Dazheng Liu Jianqiang | 2007 | Signal Processing2007，87，1： | 1 |
| 8 | A locally adaptive fil- ter of interferometrie phase images 显示文摘 | WU Nan FENG Dazheng LI Junxia | 2006 | IEEE GRS Letters2006，3，1： | 1 |
| 9 | Effects of Puerariae radix extract on the increasing intestinal permeability in rat with alcohol-induced liver injury显示文摘 | Rongrong Zhang Yiyang Hu Jianye Yuan Dazheng Wu | 2009 | Journal of Ethnopharmacology2009，，2： | 1 |
| 10 | Triiterative least-square method for bearing estimation in MIMO radar显示文摘 | LV Hui FENG Dazheng LIU Hongwei | 2009 | Signal Processing2009，89，12： | 1 |
| 11 | A new vascularized adrenal transplantation model in the rat显示文摘 | Dingyi Liu Shijie Qi Dazheng Xu | 2001 | Microsurgery2001，21，4： | 1 |
| 12 | Two-sided minimum-variance distortionless response beamformer for MIMO radar显示文摘 | Feng Dazheng Li Xiaoming Lv Hui | 2009 | Signal Processing2009，89，3： | 1 |
| 13 | Convolutive blind source separation based on joint block Toeplitzation and block-inner diagonalization 显示文摘 | XU Xianfeng FENG Dazheng ZHENG Weixing | 2010 | Signal Processing2010，90，： | 1 |
| 14 | Adaptive quasi-newton algorithm for source extraction via CCA approach显示文摘 | ZHANG Weitao LOU Shuntian and FENG Dazheng | 2014 | IEEE Transactions on Neural Networks and Learning Systems2014，25，4： | 1 |
| 15 | A Locally Adaptive Filter of Interferometric Phase Images显示文摘 | Nan W Feng Dazheng Li Junxia | 2006 | IEEE Trans on GRSL2006，3，1： | 1 |
| 16 | A fast recursive total least squares algorithm for adaptive IIR filtering显示文摘 | CHANG Dongxia FENG Dazheng ZHENG Weixing | | 0，，03： | 1 |
| 17 | Spatial- temporal separable filter for adaptive clutter suppression in airborne radar 显示文摘 | Li Xiaoming Feng Dazheng Liu Hongwei | 2008 | Electronics Letters2008，44，5： | 1 |
| 18 | Tri-iterative least-square method for bearing estimation in MIMO radar显示文摘 | Lti Hui Feng Dazheng Liu Hongwei | 2009 | Signal Processing2009，89，12： | 1 |
| 19 | Bi-iterative al- gorithm for extracting independent components from array signals显示文摘 | Feng Dazheng Zhang Hua Zheng Weixing | 2011 | IEEE Transactions on Signal Processing2011，59，8： | 1 |
| 20 | DISTRIBUTED PARAMETER NEURAL NETWORKS FOR SOLVING PARTIAL DIFFERENTIAL EQUATIONS显示文摘Novel distributed parameter neural networks are proposed for solving partial differential equations, and their dynamic performances are studied in Hilbert space. The locally connected neural networks are obtained by separating distributed parameter neural networks. Two simulations are also given. Both theoretical and computed results illustrate that the distributed parameter neural networks are effective and efficient for solving partial differential equation problems. | Feng Dazheng Bao Zheng Jiao Licheng(Electronic Engineering Institute, Xidian University, Xi’an 710071) | 1997 | Journal of Electronics(China)1997，14，2： | 1 |
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