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synthetic aperture radar
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：为有效减少大面积、多套干涉数据基线估计所需的地面控制点数量、降低接边处反演高程的差异，提出考虑干涉
相位偏置的犐狀犛犃犚区域网平差基线估计方法。采用中国科学院电子学研究所机载犐狀犛犃犚系统获取的多套干涉数据进行
了区域网平差基线估计试验，利用少量地面控制点完成了各套干涉数据的基线估计，减小接边处反演高程的差异，验证
该基线估计方法的有效性。-Baseline Estimation is important for deriving accurate heights in proce
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干涉参数定标对于机载双天线InSAR（Interferometric Synthetic Aperture Radar）系统的大面积高精度数字高程模型（DEM，Digital Elevation Model）获取具有重要意义。为了高效地进行干涉参数定标，本文从双天线InSAR获取DEM的基本原理出发，构建了一种新的考虑干涉相位偏置、基线长度和基线水平角三个干涉参数的外定标模型，设计了外定标模型的未知参数解算方案。利用GPS（Global Position System，全球定位系统）实测的高程控
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合成孔径雷达回波信号的建模，条理清晰，思路明确，赶紧下载吧。-Synthetic aperture radar echo signal is modeling, their clarity, ideas clearly, to download it.
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对合成孔径雷达距离徙动校正处理，思路清晰条理性强。-For synthetic aperture radar distance to compression processing, as distance to matched filter, clear thinking well organized.
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雷达成像RDA正侧视 matlab 我看的是合成孔径雷达成像算法与实现-digital processing of synthetic aperture radar
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sar成像RD算法，合成孔径雷达成像频域算法-sar imaging RD algorithm，Synthetic aperture radar imaging, frequency-domain algorithm
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对合成孔径雷达图像原始场景图的打开，BMP文件读取，保存场景参数文件-The original scene of the synthetic aperture radar image map to open, read BMP file, save the scene parameter file
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A novel autofocus algorithm for synthetic aperture
radar (SAR) based on total variation.
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这里包括Mehrdad Soumekh的synthetic aperture radar signal processing with matlab algorithms英文书以及附带源代码，书中有详细的雷达信号处理方法，附带程序中的成像算法包括一维距离像、条带式、聚束式等多种模式的SAR成像。可以作为有一定SAR基础的同行的编程参考。 -The files include the book of synthetic aperture radar signal processing with m
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这本书提供了充分的代表性逆合成孔径雷达（ISAR）成像，这是一种流行和重要的雷达信号处理工具。本书涵盖了所有可能的ISAR成像方面。这本书提供了一个介绍了专家组的逆问题和合成孔径雷达（SAR）提出的问题之前，信号处理技术和雷达基本相当。如高分辨率SAR的重要概念，脉冲压缩和图像形成连同相关的MATLAB代码。 ISAR成像的基本原理后，这本书提供了相关的MATLAB函数和代码成像ISAR成像的详细程序。 ISAR成像，多个成像技巧和微调，如零填充和窗口程序，以提高图像的质量也被提出。最后，逆合成
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合成孔径雷达回波数据仿真的matlab 代码，可以提取出回波的两路信号-Synthetic Aperture Radar data simulation matlab code can extract the two echo signals
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CROSS-RANGE IMAGING for synthetic aperture radar system
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RADAR RADIATION PATTERN for synthetic aperture radar system
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Inverse Synthetic Aperture Radar processing using MATLAB
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Synthetic Aperture RADAR imaging model. Implemented in MATLAB
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Many synthetic aperture radar (SAR) image formation algorithms require the computation of a multidimensional
Fourier transform of irregularly-sampled or unequally-spaced data samples. We apply a recently developed
algorithm, the unequally-spaced
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High-resolution airborne synthetic aperture radar
(SAR) systems are very sensible to deviations of the aircraft from
the reference track. In high-resolution imagery, the improvement
of range resolution increases the difficulty of implementing r
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Quality of Synthetic Aperture Radar (SAR) images is very sensitive for both pulse signal spectrum purity and
stability of the radar platform flight path. In this paper detailed influence of this factors on SAR images quality is
analyzed. Analysis
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Synthetic Aperture Radar (SAR) image processing platforms have to process increasingly large datasets under and hard
real-time deadlines. Upgrading these platforms is expensive. An attractive solution to this problem is to couple high
performance
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