sarImagingSimu

此文件实现了自适应UKF和UKF算法对运动刚体的位姿估计，采用噪声估计器在线估计过程噪声的均值和方差，避免了人为设定噪声的统计特性。(This document implements adaptive UKF and UKF algorithm to estimate pose and pose of moving rigid body, and uses noise estimators to estimate the mean and variance of process noise online, avoiding the statistical characteristics of man-made noise.)

使用adaboost方法进行人脸检测,图象库自己添加。(Face detection with adaboost method.)

小波纹理分析软件.可以进行各种小波分析及图像重建(Wavelet texture analysis software. Can be a variety of wavelet analysis and image reconstruction)

高光谱图像的读取程序，在matlab界面直接调用就可以(Hyperspectral image reading program in matlab interface can be called directly)

nist部分算法研究，序列检测，频率检测，累加和检验检测(nist part of the algorithm research, sequence detection, frequency detection, cumulative and inspection)

本应用可以将RGB颜色转换为VB专用的十六进制代码或WEB专用的十六进制代码，包含代码和已编译的EXE文件。(This application can convert RGB color to VB for hexadecimal code or WEB for hexadecimal code, contain code and the compiled EXE file. )

7个不变矩的在Matlab中的实现，提供代码供大家参考。(Seven invariant moments of the realization in Matlab to provide the code for your reference.)

一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。(A semi-supervised SVM is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image, and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictionsds)

圆心检测算法，使用matlab根据sci文章仿写，在图像质量不高的情况下检测效率较高。(Center of a circle detection algorithm, the use of matlab under the sci article仿写, image quality is not high in the case of a higher detection efficiency.)

说明：  本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料(this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information)