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飞机的设计和制造一直是与性能优异的材料 联系在一起。20世纪60年代中期以碳纤维为增强体 的复合材料问世，70年代初开始应用于军用飞机 结构，80年代开始应用于民用飞机结构。复合材料 具有比强度高和比刚度高的独特优点，飞机结构 采用复合材料，其重量可相应减少20%~30%[1]。此 外，复合材料还具有可设计性强、疲劳性能好、耐 腐蚀、易于大面积整体成型、维护性好等优点。目 前，复合材料已经成为重要的飞机结构材料。(he design and manufacture of aircraft has been a material with excellent performance Relate. In the mid 1960s, carbon fibers were used as reinforcements The composite material came out and was used in military aircraft in the early 70s The structure began to be applied to civil aircraft structures in 80s. Compound material The aircraft structure has the unique advantages of high specific strength and high specific stiffness The weight of the composites can be reduced by 20%~30%[1] accordingly. this Besides, the composite material has the advantages of good design, good fatigue performance and good resistance to fatigue Corrosion, easy to form a large area, good maintainability and so on. order Before, composite materials have become important aircraft structural materials.)

对图像进行模糊处理，用逆滤波和维纳滤波恢复图像，也是实验时自己编写的代码，请多指教。(Fuzzy image processing, inverse filtering and Wiener filter to restore the image, but also experiments have written code, like him Zhijiao.)

程序是基于DSP的数字图像处理技术，可以实现军事滤波，中值滤波和维纳滤波，实现效果较好(The program is a DSP-based digital image processing technology, the military filtering, median filtering and Wiener filtering, better )

数字音频水印程序，有嵌入和提取及攻击处理(Digital audio watermarking procedures, embedding and extracting and aggressive treatment.)

c#数字图像处理算法典型实例,本资料从数学角度来讲解图片处理的各种方法，是个不可多得的实例(c# a typical example of the digital image processing algorithms, the data from a mathematical point of view to explain the various methods of image processing, is a rare instance)

matlab程序 关于用变分法去除图像噪声 非常具有参考 价值 希望对学习图像去噪的同学 有帮助(matlab program on the use of variational method to remove image noise very reference value I hope to learn denoising help students)

对图像进行旋转和缩放的源代码,支持原图像的抽样处理及任意角度的旋转(The image rotation and scaling in any direction)

matlab做的标定程序，包括角点检测与张正友标定算法做的，有界面 (matlab to do the calibration interface, including the corner detection algorithm and Zhang Zheng-you do calibration)

利用卷积神经网络进行特征提取，并将卷积特征可视化(Feature extraction using convolutional neural networks and visualization of convolution features)

利用核函数进行遥感图像的分类，本程序再支持向量机的基础上引入了核函数进行图像分类，是分类效果更加明显(Use of nuclear function remote sensing image classification, the program no longer support vector machine based on the introduction of the kernel function for image classification, classification effect is more pronounced)