ID 原文 译文
24255 该文针对现有靶场弹丸落点定位系统需要提前测量波速，实际应用复杂，定位误差大等问题，提出一种无需预先测速的弹丸落点定位算法，此算法采用米字型传感器阵列，米字型阵列又可以分解成 2 组五元十字阵，通过来波方向(DOA)算法预先估计波速，然后把波束估计值代入到达时间差算法(TDOA)方程中计算初始位置，再把初始位置和估计波速作为参数代入到泰勒级数展开算法中，收敛定位。 To overcome the large errors and complexity of measuring the wave velocity of landing point location algorithm in target range, a method based on poisoning algorithm without velocity measurement is proposed. Nine accelerate sensors constitute pozidriv shaped array, which also consists of 2 sets of five-element cross array. DOA algorithm is used to pre-estimate the wave velocity, then the wave velocity as the initial parameter is set into the equation to calculate the initial position. Lastly, as the parameters the initial position and the velocity are set into the Taylor iterative algorithm to get the final location result.
24256 由于不需要预先人工测量波速，减少了波速测量误差，波速和定位位置都是在迭代算法中逐步收敛求精的，所以该算法提高了弹丸落点定位精度，减少了实际应用的复杂性。 Because wave velocity need not to be measurement, measurement error can be reduced, wave velocity and position value can be calculated by iteration algorithm, so this algorithm makes the landing point location more simple, more accurate.
24257 仿真算法也验证了此方法的可行性，在距离定位阵列 1000 m 范围内迭代算法都是收敛的。 The simulation verifies that this method is measurable, and the iterative algorithm is convergent in the range of 1000 meters.
24258 该文针对传统智能优化算法中虚拟碰撞而导致的全局搜索效率降低的问题，提出一种模糊非基因信息记忆的双克隆选择算法。 To provide a better solution for search efficiency reduction problem caused by pseudo collision in the traditional intelligent optimization algorithms, this paper proposes a double clonal selection algorithm based on fuzzy non-genetic information memory.
24259 该算法设计基于模糊非基因信息的搜索机制与克隆选择原理相结合，对抗体进化中的非基因信息进行采集、模糊化并保存到记忆库，运用这些信息引导该抗体后续的双克隆搜索过程，从而减少非优区域的虚拟碰撞，提高全局搜索效率。 By combing with clonal selection theory, the search mechanism based on fuzzy non-genetic information memory is well performed. The non-genetic information in antibody evolution is collected, fuzzified and stored in the memory. Using this information to guide the subsequent double cloning search process, it can reduce the pseudo collision in non-optimal area, thus the global search efficiency is improved greatly.
24260 通过标准测试函数的仿真试验并与其他算法比较，新算法表现出更快的全局收敛速度和更高的全局收敛精度。 Extensive simulations show that the proposed algorithm has fast global convergence rate and high global convergence accuracy. Comparative results further demonstrate that it performs better than existing algorithms.
24261 合成雷达孔径图像配准作为变化检测和图像信息融合的基础，对多时相 SAR 图像的解译具有重要作用。 As the basis of change detection and image fusion, SAR image registration plays an important role in the interpretation of multi-temporal SAR images.
24262 该文提出一种基于 SAR-FAST 角点检测的图像配准方法。 This paper presents a method of SAR image registration based on corner detection using SAR-FAST, which is a customized version of Features from Accelerated Segment Test (FAST) for processing SAR images.
24263 首先，选用迭代引导平滑算法抑制斑点噪声对角点检测的影响； The proposed method firstly employs rolling guidance filter to suppress speckle noise.
24264 然后，以检测点为圆心，选择合适的检测半径，在圆周上选取检测窗口，统计与检测点不相似的窗口数量，判断检测点是否为角点； Secondly, the candidate corner point is determined by quantitative analysis of the dissimilarities of the detection windows on the extended circle and the center window. Finally, the error detections are removed by analyzing the intensity distribution properties of the candidate corners.