ID 原文 译文
20955 实验结果表明：所提改进方法在仿真环境下使无杂散动态范围提升了51 dB，并且在硬件实现过程中使SFDR优化达45 dB。 The experimental results show that the proposed method improves the Spurious-Free Dynamic Range (SFDR) of sampling data up to 51 dB in the simulation environment, and optimizes the SFDR up to 45 dB in the process of hardware implementation.
20956 在保持失配误差估计精度和补偿效果优良的前提下，该方法不仅降低了算法的计算复杂度，而且该补偿结构不受TIADC通道数目的限制。 Under the premise of maintaining the error estimation precision and compensation effect, this method not only reduces the computational complexity of the algorithm, but also the compensation structure is not limited by the number of TIADC channels.
20957 高光谱图像中的异常像元往往具有在图像中出现的概率低和游离于背景数据云团之外的特点， The abnormal pixels in hyperspectral images are often have the characteristics of low probability and scattered outside the background data cloud.
20958 如何“自动”确定这些异常像元是高光谱遥感图像处理中的一个重要研究方向。 How to automatically detect these abnormal pixels is an important research direction in hyperspectral imagery processing.
20959 经典的高光谱异常检测方法一般从图像的统计特性入手， Classical hyperspectral anomaly detectionmethods are usually based on statistical perspective.
20960 广泛应用的RXD异常检测算法通过计算图像的2阶统计特征，可以直接给出异常点的分布情况，算法复杂度低，但缺点是没有考虑到图像的高阶统计信息。 The RXD algorithm which is widely used can give theanomalies distribution directly through the second order statistical feature of the image, but the disadvantage isthat it does not take into account the higher order statistics of the image.
20961 基于独立成分分析的异常检测算法虽然考虑了高阶统计量对异常点的敏感性，但需要反复迭代提取异常成分后，再对提取后的成分进行异常检测。 Anomaly detection algorithm based on Independent Component Analysis (ICA) considers the sensitivity of higher order statistics to outliers, but it needs iteration process to extract abnormal components first. And then the extracted components is used foranomaly detection.
20962 该文提出一种基于协峭度张量的异常检测算法，该算法不需要事先提取异常成分，可以直接对观测像元进行逐一检测，从而给出异常点的分布情况。 A method based on cokurtosis tensor for anomaly detection is proposed. This method does not need to extract anomaly components first. It can directly detect the observed pixels and give the distribution of abnormal pixels.
20963 基于模拟数据和真实数据的实验结果表明，该方法能够在检测出异常像元的同时更好地压制背景信息、减小虚警率，从而提高异常检测精度。 Experiments results on both simulated and real data show that it can detect abnormal pixels while suppressing the background information better. Therefore, it can reduce false alarm rate and improve detection accuracy.
20964 针对目前大多数噪声图像质量评价算法借助域变换或机器学习所带来的运算量大、训练过程繁复等弊端，以及依赖人工设置固定阈值存在普适性不佳的问题，该文改进了一种基于掩盖效应的空域噪声图像质量评价算法。 Heavy computational burden, or complex training procedure and poor universality caused by themanual setting of the fixed thresholds are the main issues associated with most of the noise image qualityevaluation algorithms using domain transformation or machine learning. As an attempt for solution, an improved spatial noisy image quality evaluation algorithm based on the masking effect is presented.