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1)  polarimetric SAR classification
极化SAR分类
1.
Full polarimetric SAR classification based on Yamaguchi scattering model
针对利用Yamaguchi分解模型的四个散射分量直接进行类别归属判断精度不高并且所分类别有限的问题,结合模糊C均值的理论,提出了一种基于Yamaguchi分解模型的全极化SAR分类算法,把四个散射分量组成一组归一化的特征矢量,进行FCM聚类分析。
2)  high-resolution polarimetric SAR
高分辨极化SAR
1.
A novel scheme of target enhancement in high-resolution polarimetric SAR imagery is proposed in this paper,which is based on the target s polarization orientation angle feature.
针对高分辨极化SAR目标增强问题,提出一种利用极化方位角特征的增强方法。
3)  Polarimetric SAR
极化SAR
1.
Method for cross-talk calibration of polarimetric SAR using distributed targets;
一种基于分布目标的极化SAR串扰定标方法
2.
Ship detection based on classification of polarimetric SAR images;
基于极化SAR图像分类的海上舰船检测
3.
Speckle Reduction of Polarimetric SAR Image Based on ICA-SCS Algorithm;
基于ICA-SCS算法的极化SAR图像相干斑抑制
4)  SAR
全极化SAR
1.
Analysis and Elimination of Faraday Rotation Effect from Spaceborne Polarimetric SAR Observation at Low Frequency Bands;
星载全极化SAR观测低频波段Faraday旋转效应分析与消除
5)  Multi-polarization SAR
多极化SAR
1.
Multi-polarization SAR has the ability of working at all-weather situation and all-day, it also can provide rich information about the type of sea ice.
多极化SAR不仅具有全天候全天时工作的能力,而且能提供非常丰富的海冰类型信息,是海冰监测业务化应用的理想数据源。
2.
This paper presents the method of retrieving surface parameters of alluvial fan using multi-polarization SAR data based on Genetic Algorithm combined with backscattering mode.
本文采用遗传算法和后向散射模型相结合的方法,探讨了多极化SAR(Synthetic Aperture Radar)数据反演冲积扇地表参数(地表粗糙度和土壤湿度)的可行性。
6)  polarimetric SAR interferometry
极化干涉SAR
1.
The Current Status and Implications of Polarimetric SAR Interferometry;
极化干涉SAR的研究现状与启示
2.
Polarimetric SAR interferometry (POL-INSAR), which combines SAR polarimetry with SAR interferometry, has become a very important direction of SAR application development.
极化干涉SAR(Pol-InSAR)是以干涉SAR和极化SAR测量技术为基础发展起米的一项新的前沿技术,住地形测绘、微地形变化检测、植被生物量估计等众多领域有着重要应用。
补充资料:高分辨电子显微镜(见高分辨电子显微术)


高分辨电子显微镜(见高分辨电子显微术)
high resolution electron microscope

高分辨电子显微镜high resolution eleetronmieroseope见高分辫电子显微术。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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