pinjiazhibiao

调频连续波双站SAR成像源代码，采用matlab编写(the code of FMCW BiSAR imaging)

由遥感图像的日数据生成旬数据，一是输出旬数据总和，二是输出旬数据平均值(From the date of remote sensing image data generated late data, the sum of ten days one output data, the second is the average of the output data late)

图像检测的算法，Faster R-CNN算法，先对整张图像进行卷积计算，然后通过感兴趣区域池化层(RoI Pooling Layer)将选择性搜索算法推荐出来的候选区域和卷积网络计算出的特征映射图进行融合，得到候选区域对应的特征矢量，这种共享卷积计算的操作极大地减少了卷积计算的次数。而且这些特征矢量的维度统一，方便后续的分类工作。通过感兴趣区域池化层处理卷积特征，并将得到的特征送往两个并行计算任务进行训练，分类和定位回归。通过这些方法和改进的框架，Fast R-CNN 用更短的训练和测试时长，取得了比 R-CNN 更好的效果(Faster R-CNN algorithm first convolutes the whole image, then fuses the candidate regions recommended by the selective search algorithm and the feature mapping maps calculated by the convolution network through the RoI Pooling Layer to get the corresponding feature vectors of the candidate regions, which greatly reduces the number of convolution calculations. Moreover, the dimension of these feature vectors is unified, which facilitates the subsequent classification work. The convolution feature is processed by the pooling layer of the region of interest, and the obtained feature is sent to two parallel computing tasks for training, classification and positioning regression. Through these methods and improved framework, Fast R-CNN uses shorter training and testing time and achieves better results than R-CNN.)

这是用C++实现图像立体匹配的一个完整的论文代码，主要特性是提出了一种全新的跨规模代价聚合方法，适合对于图像的立体匹配有一定基础的人学习(Cross-Scale Cost Aggregation for Stereo Matching)

完成车道线检测，且运行效率高，附带图片测试(it has a high performance over lane detection, and leave pictures for testing)

齿轮传动误差激励计算，ziji编程计算的(Gear transmission error excitation calculation, programming calculations by myself)

图像处理 matlab图像压缩程序， 包括图像压缩的各种技术(image processing image compression in matlab, including technologies in image compression)

国防科技大学博士周晓光论文-极化SAR图像分类方法研究(Research on polarization SAR image classification method by Dr. Zhou Xiaoguang of National University of Defense Technology)

读取单幅envi图像格式的img图像，并将其显示出来(read img)

说明：  [Wang 2011]The Meaning of Interior Tomography