ID 原文 译文
16675 针对遥感图像飞机目标检测因目标尺度不一存在漏警、虚警等问题，该文基于遥感图像中飞机目标形状特征和灰度变化特点提出了一种多尺度圆周频率滤波(MSCFF)与卷积神经网络(CNN)相结合的MSCFF+CNN飞机目标自动检测算法。 In view of the problems of missed alarm and false alarm caused by the different scales of aircrafts inaircraft target detection tasks for remote sensing images, a Multi-Scale Cirale Frequency Filter (MSCFF) andConvolutional Neural Network (CNN) aircraft target automatic detection algorithm is proposed based on theshape characteristics and gray-scale changes of aircraft targets.
16676 该算法首先采用多尺度圆周频率滤波器滤除遥感图像复杂背景，实现不同尺度飞机目标候选区域提取； Firstly, the multi-scale circle frequency filter isused to filter out the complex background of remote sensing images to extract the candidate region of aircrafttargets on different scales.
16677 然后，通过构建卷积神经网络(CNN)模型实现候选区域有效分类，最终精确确定飞机目标位置。 Then, the Convolutional Neural Network (CNN) model is constructed to realize theeffective classification of candidate regions, and finally the aircraft target position is accurately determined.
16678 最后，基于获取的真实遥感图像进行目标检测算法实验验证，经统计该算法的飞机目标检测率为94.38%，虚警率为3.76%， The target detection algorithm is experimentally verified based on the obtained real remote sensing images. It shows that the aircraft target detection rate and the false alarm rate are 94.38% and 3.76% respectively.
16679 实验结果充分验证了该文算法的有效性，该算法可为机场监管、军事侦察等应用提供重要的技术支持。 The experimental results fully verify the effectiveness of the proposed algorithm, which can provide important technical support for airport supervision, military reconnaissance and other applications.
16680 星载扫描合成孔径雷达(ScanSAR)采取Burst工作模式，该模式在获得宽幅测绘能力的同时，也导致图像中产生了固有的扇贝效应，严重影响图像的视觉效果和定量应用。 The space borne Scanning Synthetic Aperture Radar (ScanSAR) adopts the Burst working mode.While obtaining wide-range mapping capabilities, this mode also causes an inherent scalloping in the image, which seriously affects the visual effects and quantitative applications of the image.
16681 该文结合对ScanSAR图像方位向统计特性的分析，针对现有滤波模型稳定性差和时间复杂度高等缺点，提出了一种改进的Kalman滤波模型，对图像方位向标准差和均值进行滤波以校正扇贝条纹。 Based on the analysis of the azimuth statistical characteristics of ScanSAR images and aimed at the shortcomings of the existing filtering model such as poor stability and high time complexity, an improved Kalman filtering model is proposed, which filters the standard deviation and mean of image in azimuth position to correct scallop stripes.
16682 在高分三号(GF-3)卫星获取的真实ScanSAR图像上的校正结果验证了改进算法的有效性和高效性，此外在建筑群和海陆交界等复杂场景图像上的实验结果表明，改进算法具有较强的鲁棒性。 The correction results on the real ScanSAR images acquired by the GF-3 satellite verify the effectiveness and efficiency of the improved algorithm. Furthermore, the experimental results on complex scene images such as buildings and thejunction of sea and land indicate that the strong robustness of the improved algorithm.
16683 该文对基于混沌的双模块Feistel结构(CFE)高安全性高速分组算法的安全性进行了分析。 The security of high security and high speed block cipher algorithm of two-module FEistel structurebased on Chaos (CFE) is analyzed.
16684 分析结果表明，算法不适合用积分攻击、中间相遇攻击、不变量攻击、插值攻击和循环移位攻击分析其安全性； The results show that the cipher is not suitable to use integral attack,meat-in-the-middle attack, invariant attack, interpolation attack and circle shift attack to analyze its security.