ID 原文 译文
16195 介绍了基于条纹管探测体制的激光雷达的发展应用现状、工作原理、技术优势，针对水下目标与场景探测，分析论证了激光雷达系统的技术参数。 The developing status,operating principle and technological superiority of streak tube LIDAR were introduced in the first place. Aiming at detection of target and surroundings under water,the parameters of LIDAR system were calculated,based on which a streak tube LIDAR prototype was developed.
16196 在此基础上设计研制了一套条纹管激光雷达样机，并进行相关试验测试，获取了目标多维图像，通过分析评估其探测能力，提出下一步优化改进方向，最后对该体制激光雷达的应用进行了展望。 A number of multiple dimension images were acquired by means of test and experiment, and the optimizing method was presented for later work after the detector performance of prototype was evaluated. At last,the LIDAR application expectation was discusssed.
16197 针对遥感图像道路提取信息丢失问题，提出了一种基于残差神经网络的道路提取算法。 In order to solve the problem of road extraction information loss in remote sensing images,a road extraction algorithm based on residual neural networks was proposed.
16198 首先构建编码器-解码器网络，结合预编码器以及空洞卷积模块进行训练，提取更多的语义信息。 Firstly,an encoder-decoder network was constructed,combined with pre-coder and dilated convolution module to extract more semantic information.
16199 其次并联设计的空洞卷积模块加在编码器-解码器结构的中间部分，它可以对不同感受野的特征图进行特征提取。 Secondly, the parallel designed dilated convolution module was added to the middle part of the encoder-decoder structure,which could extract features of different receptive field features.
16200 最后编码器-解码器之间采用跳连的方式进行多尺度的特征融合，学习更多低维和高维的特征。实验结果表明，在Massachusetts道路数据集上，该方法相比其他算法在Precision、Recall和F1-score性能指标上分别有11%、0.3%和7.4%的提升。 Finally, the encoder-decoder used jumper to perform multi-scale feature fusion,learning more low-dimensional and high-dimensional features.In the Massachusetts road dataset,this method had 11 %,0.3 %,and 7.4 % improvement in Precision,Recall,and F1-score performance indicators.
16201 同时在Accuracy指标上也达到了97.9%，相比于其他算法，该算法有一定的应用价值。 At the same time,it also achieved 97.9 % in the Accuracy index. Compared with other algorithms,the algorithm has certain application value.
16202 针对硅光子集成回路缺少实用化光源的问题，提出了一种1.55μm波段InP基FP激光器芯片、InP基PIN光电探测器芯片与硅光波导芯片集成模块的设计与制备方法。 To solve the problem of practical light source lacking in silicon photonic integrated circuit,design and preparation method of integrated module including 1.55 μm InP FP laser chip,InP PIN photodetector chip and silicon optical waveguide was proposed.
16203 使用CMOS工艺兼容的硅光无源器件制备工艺，设计并制备了倒拉锥型端面耦合器，与锥形透镜光纤耦合效率为36.7%。 Silicon edge coupler of inverted cone type was fabricated by CMOS compatible process,and the coupling efficiency was 36.7 %.
16204 采用微组装对准技术将激光器芯片与硅波导芯片耦合、UV固化胶固化后耦合效率为35.8%,1 dB耦合对准容差横向为1.2μm，纵向为0.95μm。 The laser chip and silicon waveguide chip were coupled by micro-assembly alignment technology,and the coupling efficiency was 35.8 % after UV adhesive curing. The 1 dB alignment tolerance was 1.2 μm horizontally and 0.95 μm longitudinally.