点目标

文中研究了数据域DPCA技术在机载双通道SAR地面动目标检测领域的应用，推导出点目标回波模型；

In this paper , two kinds of raw data range DPCA algorithms-time range DPCA and Doppler range DPCA to use in bi-channel SAR / GMTI system are studied . The model of point target return is derived ;

点目标激光雷达散射截面的实验研究

Experimental Study on the Lidar Scattering Cross Section of Point Target

DSP实现低信噪比条件下点目标检测与跟踪

Point target detection and tracking with DSP under the condition of low SNR

讨论和分析了机载双站SAR空间几何模型，并在此基础上推导了双站SAR点目标回波信号模型。

The general bistatic geometrical and signal models are built .

基于SAR干涉点目标分析技术的城市地表形变监测

Monitoring Urban Subsidence Based on SAR Interferometric Point Target Analysis

利用点目标进行SAR辐射定标的方法研究

Research on Approach of SAR Radiometric Calibration Using Point Target

SAR点目标干扰的研究

Study on the Jamming of SAR Point Target

本文提出了一种时域的模拟方法来模拟点目标和点阵目标，该方法能够精确的生成SAR回波信号。

A time domain method of SAR raw signal of single point is presented .

SAR点目标的响应形状

The Shape of SAR Point Target Response

基于改进的RD成像算法的SAR点目标仿真

To Simulate on Point Target Based on Improved RD Algorithm

结果给出了精确度和地形适应性较好的点目标仿真和实际SAR图像。

Results Simulated point target and actual SAR image processing with high accuracy and better geography adaptability are presented .

基于HMM的红外点目标序列图像扰动补偿方法

Disturbance compensation method based on HMM in infrared image sequence

基于数学形态学的红外点目标实时检测算法及其CPLD实现

Real-Time Detection Algorithm of Infrared Image Point Targets Based on Mathematic Morphology and Its Implementation on CPLD

本文在对SAR的工作原理及其典型成像算法分析研究的基础上，对SAR的点目标成像进行了距离-多普勒算法仿真；

This dissertation simulates SAR point target imaging with Range-Doppler ( R-D ) Algorithm based on analyzing SAR imaging theories and algorithms .

最后研究了在双站平行飞行模式下的RD算法及BP算法，并用该算法进行了点目标仿真，分析了这两种算法在双站SAR成像中的应用特点。

At last , RD and BP algorithm application characteristics in Bistatic SAR are discussed and the simulation experiments under parallel model were taken .

提出了一种基于双基中MSR方法的适用于星载SAR的高阶解析点目标二维参考频谱。

A MSR-based spaceborne point target reference spectrum was proposed as a new high order frequency domain approach .

为检测复杂背景中的低信噪比（SNR）点目标，提出了一种局部自适应门限检测算法。

In order to detect low SNR point targets under a complex background , this paper presents a local adaptive threshold detection algorithm .

在此基础上，建立了SAR回波信号的仿真模型，并针对几种典型的误差形式进行了进一步的分析，得到了带有误差的点目标回波模型。

On this basis , we created simulation models for echo signals of SAR , analyzed several typical errors and got the point target echo with these errors .

红外多波段点目标检测RX算法性能分析

Performance Analysis of Point Target Detection RX Algorithm in IR Multiple-band Image

通过分析burst模式点目标回波信号特性及其压缩过程揭示了burst模式SAR成像的特点和难点。

Also the features and difficulties of the imaging for a burst mode are revealed by analyzing the data characteristics and the image generation of a single target .

基于BP网络与D-S理论相结合的点目标状态下卫星及其伴飞诱饵的识别方法

A Method Based on the Combination of BP Networks and D S Theory to Recognize Satellite and its Companion Decoy in the State of Point Target

同时，针对高分辨率的CCD摄像机，探讨了有关点目标与CCD像元一一对应的图像采集及其硬件和软件设计方法。

In accordance with the high resolution CCD camera , it tells us how to make the pixels of CCD one-to-one correspondence with the design methods of the hardware and the software .

模拟信号（包括单点目标和多点目标）经过R-D算法成像处理系统处理后，得到了较好的成像图。

Imaging pictures of simulative signal including single target and multi-target are gained by the system .

采用设计完成的弹载SAR实时成像处理系统，结合DSP的编程方法，模拟弹载SAR（包括单点目标和多点目标）经过去调频斜率算法成像处理，得到了较好的结果。

The DSP code for the real-time processing of Missile-borne SAR is realized in the designed DSP board . Imaging pictures of simulative signal including single target and multi-target are gained by the system .

本文提出的点目标状态下卫星及其伴飞锈饵的识别方法是基于BP网络与D－S理论相结合的信息融合方法。

An information fusion method based on the combination of BP neural networks and D S evidence theory to recognize satellite and its companion decoy in the state of point target is proposed in the paper .

由于方位多普勒质心和多普勒带宽与不同的几何布局有关，侧重分析了双站SAR平飞模式等距离不同方位点目标的多普勒信息。

Since the Doppler center-frequency and Doppler bandwidth are related with different geometric models , this paper gives particular emphasis on analyzing Doppler information of different targets at the same range under parallel model .

并采用通常的R-D算法，对该数据进行了成像处理，得到了点目标的成像结果。

By using this simulated data and the R-D algorithm , the image of the point target is obtained .

此计划将确定是否能够满足恢复点目标（RPO）。

The schedule will determine if you can meet your recovery point objective ( RPO ) .

通过对双站SAR系统的点目标信号的分析，推导出它的相位变化史及其特性，为双站SAR系统信号处理的研究提供了理论依据。

Lastly , the point target signal of bi-static SAR system is analyzed , and its phase variation history and its character are derived , which provide the theory reference for the signal processing research of bi-static SAR system .

针对大面积分布目标的回波模拟需要大量运算，依据调频连续波合成孔径雷达回波结构的特点，提出了一种基于FFT的快速回波模拟算法，与直接点目标求和方法相比运算量大大缩减。

According to the echo structure of FM-CW SAR , a fast algorithm for echo simulation of distributed targets based on FFT is presented , reducing the computation significantly comparing with one by one point superposition .