je-analysis-1[1].4.0.jar

高光谱数据进行KNN分类，可以从原始数据如（indianpine）中选取部分样本(Hyperspectral data can be classified by KNN, and some samples can be selected from raw data such as (indianpine).)

说明：  基于SegNet实现了车道线的识别。里面包含已经训练好的模型。(Lane line recognition based on SegNet contains the trained model.)

采用片条理论进行机翼的颤振分析，匹配点和非匹配点分析(Carried out using strip theory wing flutter analysis, matching and non-matching point analysis points)

产生一个验证码，有四个数字组成，有噪音，椒盐噪声等(failed to translate)

把图像导入后，可以实现对图像的huffman编码(Import the images, you can realize the image of the huffman encoding)

说明：  使用PSTD计算方法实现的3维时间反转镜像技术算法，可用于声学及电磁学成像(A Time Reversal Mirror Algrithm devopled by the 3 dimensial PSTD numerical method, it can be used in acousic and electromagnitic imaging field)

说明：  红外图像细节增强仿真，其中使用双边滤波器进行图像分层。带测试源数据。(Infrared image detail enhancement, with test source data)

Adaboost训练分类器的源代码，是快速人脸检测的必备。(It is the code for training classifiers by Adaboost to Face Detection)

说明：  基于混合高斯模型的背景减除算法实现。matlab代码。(Gaussian mixture model-based background subtraction algorithm. matlab code.)

实现模糊聚类算法（FCM）与马尔科夫随机场空间约束（MRF）的图像分割、SAR图像变化检测(Fuzzy Cluster Method and Markov Random Field for Image Segmentation or SAR Change Detection)