Aerial-BiSeNet: A real-time semantic segmentation network for high resolution aerial imagery

The aircraft system has recently gained its reputation as a reliable and efficient tool for sensing and parsing aerial scenes. However, accurate and fast semantic segmentation of high-resolution aerial images for remote sensing applications is still facing three challenges: the requirements for limited processing resources and low-latency operations based on aerial platforms, the balance between high accuracy and real-time efficiency for model performance, and the confusing objects with large intra-class variations and small inter-class differences in high-resolution aerial images. To address these issues, a lightweight and dual-path deep convolutional architecture, namely Aerial Bilateral Segmentation Network (Aerial-BiSeNet), is proposed to perform real-time segmentation on high-resolution aerial images with favorable accuracy. Specifically, inspired by the receptive field concept in human visual systems, Receptive Field Module (RFM) is proposed to encode rich multi-scale contextual information. Based on channel attention mechanism, two novel modules, called Feature Attention Module (FAM) and Channel Attention based Feature Fusion Module (CAFFM) respectively, are proposed to refine and combine features effectively to boost the model performance. Aerial-BiSeNet is evaluated on the Potsdam and Vaihingen datasets, where leading performance is reported compared with other state-of-the-art models, in terms of both accuracy and efficiency.     

基于FPGA的RS232转429接口电路的设计与实现

介绍用于自动控制设备控制板卡的软硬件设计方法,采用混合输入（包括SCH和VHDL）实现该设计,重点阐述应用ISP开发软件采用VHDL语言实现整个软件接收、控制部分,测试表明设计方法合理有效。     

宽带信号多通道干涉仪测向解模糊方法研究

针对基于子频带分解的宽带信号干涉法测向中通道间相位差的模糊问题,提出了一种简单的解模糊方法,该方法运算量小且正确解模糊对信噪比要求低。仿真结果表明了结论的正确性。     

基于CDMA蜂窝网的飞行器三维定位算法

针对中低空飞行器提出了一种将码分多址(CDMA)蜂窝网导频信号被动定位与惯性导航系统进行组合的导航定位方法。该定位方法是根据CDMA蜂窝网导频信号的到达时差（TDOA）进行两次加权最小二乘解算,并利用飞行器惯性组合的原始信息进行解模糊,从而实现中低空飞行器的三维实时定位。蒙特卡罗仿真证明：在高斯白噪声条件下,该算法运算速度快,精度高,其均方误差逼近克拉美罗下界（CRLB）,为组合导航实时性要求提供了理论参考。     

FY-3气象卫星中分辨率光谱成像仪结构仿真分析

用ANSYS软件仿真分析了风云三号（FY-3）气象卫星中分辨率光谱成像仪的结构。根据建立的成像仪有限元模型,进行了静力学、模态和谱分析,给出了X、Y、Z向加速度载荷下消旋机构的应力和变形、1-20阶模态频率,以及各向正弦振动谱作用下各部件的应力和变形。结果表明：有限元法与实验数据基本吻合,可用于成像仪设计的优化。     

High resolution science with high redshift galaxies

We summarize the high-resolution science that has been done on high redshift galaxies with Adaptive Optics (AO) on the world’s largest ground-based facilities and with the Hubble Space Telescope (HST). These facilities complement each other. Ground-based AO provides better light gathering power and in principle better resolution than HST, giving it the edge in high spatial resolution imaging and high resolution spectroscopy. HST produces higher quality, more stable PSF’s over larger field-of-views in a much darker sky-background than ground-based AO, and yields deeper wide-field images and low-resolution spectra than the ground. Faint galaxies have steadily decreasing sizes at fainter fluxes and higher redshifts, reflecting the hierarchical formation of galaxies over cosmic time. HST has imaged this process in great structural detail to z  6, and ground-based AO and spectroscopy has provided measurements of their masses and other physical properties with cosmic time. Last, we review how the 6.5 m James Webb Space Telescope (JWST) will measure First Light, reionization, and galaxy assembly in the near–mid-IR after 2013.     

基于全零点FIR前向滤波网络的超分辨成像方法研究

距离多普勒成像的距离分辨率和横向分辨率,分别取决于发射信号的有效带宽和目标相对于雷达在相干积累时间内的转角。采用的方法可以突破上述的限制,其方法是采用全零点FIR 前向滤波网络,在成像处理前进行线性预测滤波,仿真结果表明,这是一种改善距离多普勒成像雷达分辨率的有效方法。     

引入神经网络的交互式多模型算法

在交互式多模型算法中引入神经网络算法以改进目标跟踪的精度。利用神经网络算法对基于机动目标“当前”统计模型的均值和方差自适应滤波算法进行修改,提高该算法的性能,然后采用交互作用多模型算法跟踪机动目标,提高了机动目标的跟踪精度。     

水溶液中LC4铝合金的微生物腐蚀缓蚀杀菌剂

通过电化学极化、表面分析等方法,研究了 LC4铝合金在无菌培养液和培养液加硫酸盐还原菌( sulfate-reducing bacteria,简称 SRB)的厌氧体系中加入缓蚀杀菌剂的腐蚀行为。实验结果表明 :SRB能加速LC4铝合金的腐蚀破坏,其腐蚀破坏行为属于点蚀腐蚀机理;加入缓蚀杀菌剂能够影响 SRB的生长规律,抑制 SRB和 Cl-离子对 LC4铝合金的腐蚀破坏。在所研究的 4种缓蚀杀菌剂中,BHA-2缓蚀杀菌剂具有最好的缓蚀和杀菌双重功效,且明显优于市场上广泛使用的 1 2 2 7。