搜索资源列表
Linear_FM
- SAR radar的訊號模擬,在LFM中加入雜訊,FFT分析訊號-SAR radar signal simulation, in the LFM adding noise, FFT signal analysis
jushuSAR
- 在分析聚束合成孔径雷j盘(SAR)方位向时频关系的基础上，提出了一种新的全孔径分辨率SAR成像算法。 根据SAR在条带与聚束模式下回波信号之间的差别，利用现有成熟的条带SAR成像算法实现先对聚束SAR各方位向子 孔径成像，而后再将各方位子孔径带宽合成为全孔径带宽，以形成具有全孔径分辨率的SAR图像，极大降低了系统PRF 的要求。-In the analysis of spotlight synthetic aperture radar dish j (SAR) azimuth bas
sar
- SAR成像算法的分析； SAR成傢算法简要介绍 ；Chirp-scaling算法 ； 分布式小卫星SAR解方位多普勒模糊的点目标仿真； 分布式小卫星SAR成像的仿真参数 ； 点目标成像仿真及结果-SAR imaging algorithm analysis SAR algorithm married briefly Chirp-scaling algorithm distributed small satellite SAR azimuth Doppler ambiguity sol
SAR-blur-analysis
- 分析了合成孔径雷达的模糊度问题及其对图像质量的影响, 详细描述了模糊度的 表达式, 分析了不同系统参数对模糊度的影响, 对所谓的重影现象作了定量分析-Analysis of synthetic aperture radar ambiguity problems and their impact on image quality, a detailed descr iption of the fuzzy degree of expression of the different system
FusionSegmentationAlgorithm
- 针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向 异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚 集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和 MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
xsk_rd1
- 关于SAR的一个仿真程序，采用RD算法编写的一个MATLAB源程序，通过仔细分析还可以很方便的将其扩展为用于实测数据的成像。-On the SAR of a simulation program, written by RD algorithm, a MATLAB source, through careful analysis also can easily be extended to the measured data for imaging.
Gray-symbiotic-matrix
- 灰度共生矩阵和纹理分析功能，能很好的对SAR图像进行分析和提取目标地物。-Gray symbiotic matrix and texture analysis function, can be a very good image of SAR analysis and extraction target features.
SARtuxiangmubiaotezheng
- SAR图像目标特征提取分析，很有用的哦，非常好的程序-SAR target feature extraction image analysis, useful Oh, very good program
SAR
- 以MSTAR为实验数据，对SAR影像进行杂波统计分析研究。利用高斯、瑞利、对数正态、LN、gamma函数模型对其拟合，通过K-S方法检验拟合精度-The MSTAR the experimental data, statistical analysis of SAR images of clutter. Gaussian, Rayleigh, lognormal, LN, gamma function model to its fitting, fitting by means of check
Linea-Detection-in-SAR-Analysis
- 城市区域SAR图像中的直线目标提取方法，城市区域SAR图像中的直线目标提取方法-Linear Features Detection in SAR Images for Urban Analysis
Analysis-of-SAR-Images-Quality-Degradation-Factor
- 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
CS-of-multi-static-SAR
- 压缩感知在多基地合成孔径雷达中的应用，关于采样相关性与图像重建质量的关系分析-Compressed sensing applications in the multi-base synthetic aperture radar, relationship analysis on sampling correlation with the quality of image reconstruction
SAR
- SAR距离多普勒算法原理的研究以及未来发展状况的分析-SAR analysis from research and the future development of the principle of the Doppler algorithm
SAR-image-changes-detection
- SAR图像变化检测,可以对比同一地点不是时间的SAR图像变换，并聚类分析-SAR image change detection, you can compare the same place time of SAR image transformation and cluster analysis
SAR-image-simulation
- sar抗干扰的算法 及其成像结果分析 主要对多普勒算法的解释-Algorithm and imaging results sar interference analysis of the main explanations for the Doppler algorithm
SAR-speckle
- 不同SAR图像相干斑滤波算法，通过对比分析不同滤波算法的优劣性-Different SAR image speckle filtering algorithm principle and comparative analysis, analysis of the pros and cons of various filtering algorithms
gb-SAR-deformation-detection
- 煤田火区地表形态变化是煤火监测和分析的可用指标之一’由于矿区地表严重的去相干噪声，使得星载合 成孔径雷达干涉测量技术应用于煤田火区地表形变检测比较困难’结合煤田火区地表形变特点，利用 4 波段的 -45( -4(-! 数据进行差分干涉处理，利用干涉条纹频率精确估计基线，并用自适应滤波方法降低去相干噪声的 影响’在去除平地相位和参考地形相位后，获取煤田火区的地表形变’研究表明: 地表形变与煤火燃烧具有一定 的相关关系，通过地表形变分析有助于对地下煤火燃烧情况的判断 利用差分干涉 (
SAR-anylsis
- 图像噪声分析算法——基于SAR的噪声分析-Image analysis algorithms Noise- Noise analysis based on SAR
tui-V5.2
- Calculation crosshairs diffraction image at different distances, Includes the modulation, demodulation, signal to noise ratio calculation, Compared with the results of theoretical analysis.
Simultaneous SAR and GMTI using ATIDPCA
- In previous work, we presented GMTI detection and geo-location results from the AFRL Gotcha challenge data set, which was collected using a 3-channel, X-band, circular SAR system. These results were compared against GPS truth for a scr ipted vehicle