radar-moving-target-simulation

说明：  这是个qt绘制贝塞尔曲线的介绍文档，适合新手学习。(This is a QT drawing Bessel curve introduction document, suitable for novice learning.)

BMP和JPEG数据格式的图片读取与写入操作，有完整的代码(BMP and JPEG data format images read and write operations, complete code)

说明：  图像识别算法，使用点阵方式识别图片，借用Tessnet2.zip 组件，用来进行图片文字/图片数字识别(Tessnet2.zip use to be Image recognise)

条带式合成孔径雷达的cs,RDA,RMA算法 作者何志华,(Banding type cs of synthetic aperture radar, RDA, RMA algorithm, the authors ho che wah)

使用中值，均值，小波，DCT，PCA五种方法实现对图像的去噪处理。(Five methods, median, mean, wavelet, DCT and PCA, are used to denoise the image.)

shanChen两相流LBM的c版源代码，参考shanChen.m修改的，希望对不太熟悉Matlab的有所帮助(c code of liquid-liquid flow of shanchen)

用于各种特征提取主成分分析法，如表情提取，人脸提取，识别分类等(For a variety of features to extract the principal component analysis (pca)，Such as expression extraction, face extraction, identification classification, etc)

说明：  机器学习专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技 能，为包括人脸识别领域的人工智能的发展做出了极大的贡献。本文探索如何应用机器学习中的一些技术，使计算机更好地完成人脸识别领域中的人脸检测和人脸验证。 在人脸检测方面，针对如何快速、准确地检出人脸的问题，基于DLIB中特征模型，可以快速提取检测出人脸，并且提取出人脸特征点,主要作用就是快速检测定位人脸。在训练过程中，引入了ResNet机器学习算法，该算法采用多层卷积神经网络结构，对人脸进行多层特征提取和描述，得到人脸特征描述符。通过测试可以证实了上述方法能够检测和识别人脸。(In terms of face detection, for the problem of how to detect faces quickly and accurately, based on the feature model in DLIB, you can quickly extract and detect faces, and extract face feature points, the main role is to quickly detect and locate faces. In the training process, the VGG-FACE machine learning algorithm is introduced. This algorithm uses a multi-layer convolutional neural network structure to perform multi-layer feature extraction and description on the face to obtain the face feature descriptor. Tests can confirm that the above method can detect and recognize human faces.)

说明：  基于RSA的图像加密过程，进过扩散等进行加密处理。(Based on the blockchain image encryption process, through diffusion and other encryption processing.)

3D 点云建筑物分割代码3D 点云建筑物分割代码3D 点云建筑物分割代码(3D point cloud, buildign segmentation3D point cloud, buildign segmentation3D point cloud, buildign segmentation)