ID 原文 译文
13084 对海雷达回波信号包括目标信号和海杂波，其中，目标通常是飞机、舰船、弹头或无人机，而海杂波是制约雷达探测性能的关键因素。 Martime radar echoes are composed of target echo and sea clutter. Thereinto, the target could be arplane, vessel, missile or unmanned aerial vehicle, and sea clutter is the key factor affecting radar detection performance.
13085 本文归纳总结了国内外在海杂波、目标(飞机、舰船、弹头以及无人机)极化特性方面的研究现状和主要研究结论，并对后续工作进行了展望。 This paper summarizes the research status of cognition of polarization characteristics of sea clutter and the above mentoned target echoes. It also presents some man conclusons and future work.
13086 高分三号(GF-3)是我国第一颗多极化雷达卫星，主要用于海洋遥感和海面监测,其中海陆分割是重要的预处理步骤。 Gaofen-3(GF-3) was the first mult-polarization radar satellte launched by China which is dedi cated to mari ne mon i tor ing and ocean remote sens i ng.
13087 文章针对GF-3多极化合成孔径雷达(synthetic aperture radar, SAR )的精准海陆分割，提出了创新的混合策略方法，可提高分割性能对于相干斑噪声、风浪、成像等因素的稳健性。 Sea-land segmentat i on i s a vi ta! step of i mage preprocess ing. In this paper, we propose a novel hybrid strategy for precise sea-land segmentation in GF-3 SAR images, which can improve the robustness of segmentation performance with respect to speckle noise, waves, imaging, and etc.
13088 针对不同的极化通道采取三种不同的策略：1)对数混合高斯模型，用于确定海陆比，将纯陆地和纯海洋图像与海陆图像区分开，同时根据混合模型参数对海陆图像进行精细聚类。 Three different strategies are adopted in different polarzed channels： 1) logarithmic Gaussian mixture model(LGMM) is applied to distinguish all-land and all-sea images from mixture images by determining the ratio of sea-tc-land, and it conducts fine clustering of sea-land segmentaton according to the parameters of LGMM；
13089 2)大津法,通过分别在对数域和复数域实现类 间方差最大化,产生基于灰度信息的海陆掩膜； 2) OTSU method, which maximizes inter-class variance in logarithmic domain and complex domain respectively, and generates the sea-land masks based on gray informaton；
13090 3)对数累积量,分析纹理信息,通过对数二阶矩与对数三阶矩 之间的联系判断海陆大致分布，用作对投票机制产生的海陆掩膜进行验证与再分割，增强海陆分割精确性。 3) logarithmic cumulants are adopted to analyze texture information, and judges the general distribution of mixture images by the connection between 2ogarithmic second-order moment and 2ogarithmic third- order moment, so as to verify and predict the sea-2and masks generated by majority voting mechanism, and enhance the accuracy of sea-land segmentation.
13091 针对大量GF-3数据进行实验，结果均达到理想效果，具备实际应用价值。 Experiments were carried out on a large number of GF-3 SAR images, and the resuts are exceptiona2.The proposed sea-2and segmentation a2gorithm has potentia2 practica appication.
13092 随着高分辨率合成孔径雷达(synthetic aperture radar, SAR)技术的不断发展，船只类型识别已成为遥感领域的重要研究课题。 With the development of high resolution synthetc aperture radar (SAR) technology, ship type recognition become smore and more important in remote sensmg.
13093 为满足在大样本支撑下的船只类型精确识别，文章利用RADARSAT-2 和中国高分3号(GF-3)SAR数据构建了名为HR!/的高分辨率/AR船只样本集,详细阐述了构建HR!S 的方法，并建立了一套完整的船只样本提取流程。 In order to improve the identification accuracy, a high resolution SAR ship sample set, named as HR!S, is constructed using RADARSAT- 2 and Chinese GaoFen-3 (GF-3) SAR data. The process of ship samples extraction and HR!S constructon are introduced in detail.