快速矩阵求逆与行列式计算用于极化合成孔径雷达

Synthetic aperture radar imaging below a random rough surface

Motivated by applications in unmanned aerial based ground penetrating radar for detecting buried landmines, we consider the problem of imaging small point like scatterers situated in a lossy medium below a random rough surface. Both the random rough surface and the absorption in the lossy medium significantly impede the target detection and imaging process. Using principal component analysis we effectively remove the reflection from the air-soil interface. We then use a modification of the classical synthetic aperture radar imaging functional to image the targets. This imaging method introduce…

High-resolution, quantitative signal subspace imaging for synthetic aperture radar

We consider synthetic aperture radar imaging of a region containing point-like targets. Measurements are the set of frequency responses to scattering by the targets taken over a collection of individual spatial locations along the flight path making up the synthetic aperture. Because signal subspace imaging methods do not work on these measurements directly, we rearrange the frequency response at each spatial location using the Prony method and obtain a matrix that is suitable for these methods. We arrange the set of these Prony matrices as one block-diagonal matrix and introduce a signal subs…

Fourier Analysis, Computing, and Image Formation for Spotlight Synthetic Aperture Radar

This article is written to serve as an introduction and survey of imaging with synthetic aperture radar (SAR). The reader will benefit from having some familiarity with harmonic analysis, electromagnetic radiation, and inverse problems. After an overview of the SAR problem and some main concepts, the SAR imaging problem is contextualized in terms of classical harmonic analysis. Within this context, we consider partial Fourier sums of off-centered Fourier data and correspondingly the convolutional kernels resulting from conventional SAR image formation techniques. Following this, we revisit ima…

在多基地合成孔径雷达中求解全波穿墙传输效应

Resolving Full-Wave Through-Wall Transmission Effects in Multi-Static Synthetic Aperture Radar

针对多基地穿墙SAR因多次散射导致成像散焦的问题，提出一种兼顾灵活性与计算效率的成像方法，通过联合重建墙体未知扰动参数求解全波效应，生成聚焦图像。

合成孔径雷达图像分类的机器学习方法

A machine learning approach for image classification in synthetic aperture RADAR

本研究采用卷积神经网络和单次散射近似，对SAR图像中的地面目标形状及冰类型进行分类，实验准确率均不低于75%，并探讨了天线高度对分类性能的影响。

量化合成孔径雷达反演

Quantitative synthetic aperture radar inversion

本文提出了一种两步方法用于单站SAR反散射问题，通过内部波拟合和优化改进波速估计。