ID 原文 译文
49507 实验结果表明，该方法充分利用同质区和异质区的特点，结合不同的方法进行分类处理可有效提高图像降斑性能，在SAR图像降斑性能指标和视觉效果方面均达到了较高水平。 The experimental results show that the method makes full use of the characteristics of homogeneous and heterogeneous area, combined with different ways to classify treatment can effectively improve the performance of image spot reduction in SAR images is spot performance and visual effect reached the high level.
49508 针对现有基于超混沌的图像加密算法存在安全性不足和运行效率低的缺点，提出了一种改进算法。 In view of the existing image encryption algorithm based on hyperchaos security deficiencies and a disadvantage of low efficiency, an improved algorithm is proposed.
49509 该算法通过优化像素置乱、像素替换和密文扩散过程进一步混淆明文图像和密文图像的关系， Through optimizing the algorithm pixel scrambling, pixel replacement and ciphertext diffusion process further confusing the relationship between the plaintext and ciphertext images,
49510 并通过引入新的超混沌序列量化方法，减少超混沌系统的迭代次数，提高运行效率。 and by introducing a new hyperchaos sequence of quantitative methods, reduce the number of iterations hyperchaos system, improve the operation efficiency.
49511 实验仿真结果表明，算法具有很高的安全性和实用性，可广泛运用于图像保密通信等领域。 The experimental simulation results show that the algorithm has high security and practicability, which can be widely used in fields such as image encryption communication.
49512 快速同时定位与建图(fast simultaneous localization and mapping，FastSLAM)算法的采样过程会带来粒子退化问题， Rapid positioning and built figure (fast simultaneous localization and mapping, FastSLAM) algorithm of sampling process brings particle degradation problems,
49513 为了改进算法的性能，提高估计精度，从研究粒子滤波的建议分布函数出发，提出基于自适应渐消扩展卡尔曼滤波(adaptive fading extended Kalman filter，AFEKF)的FastSLAM算法。 in order to improve the performance of the algorithm, improve the estimation precision, from studying the proposal distribution function of particle filter, is proposed based on adaptive fading extended Kalman filter (the adaptive fading extended Kalman filter, AFEKF) FastSLAM algorithm.
49514 该算法基于FastSLAM的基本框架，利用AFEKF产生一种参数可自适应调节的建议分布函数，使其更接近移动机器人的后验位姿概率分布，减缓粒子集的退化。 The algorithm based on the fundamental framework of the FastSLAM, parameters can be adjusted adaptive AFEKF to produce a proposal distribution function, make it more close to the posterior position of the mobile robot probability distribution, slow degradation of particle set.
49515 因此在同等粒子数的情况下，该算法有效提高了SLAM精度，以此减少所使用的粒子数，降低算法的复杂度。 Therefore, under the same number of particles, the algorithm effectively improves the precision of SLAM, to reduce the use of particle number, reduce the complexity of the algorithm.
49516 基于模拟器和标准数据集的实验仿真结果验证了该算法的有效性。 Based on a simulator and standard data sets of the experimental simulation results show the effectiveness of the algorithm.