resampling

InSAR用于干涉的压缩包，有需要的可以下载啊(InSAR is used to interfere in the archive)

实现SAR复数数据bin文件的读取、写入，可被ENVI、PolSARpro等软件读取(SAR complex data read and write)

这是一个实现从RGB到HSI的互换的程序,你可以将一个你所喜欢的(This is an implementation from RGB to HSI swap program, you can take a you like)

在matlab环境下基于pocs（凸集投影）的图像重建(Based in the matlab environment pocs (convex projection) of image reconstruction)

基于alpha matting的抠图技术(Alpha matting based matting techniques)

本软件包包括四个程序，主要用于图像处理（图像去噪，图像分割）和模拟退火算法。(This package includes four procedures, mainly used for image processing (image denoising, image segmentation) and simulated annealing algorithm.)

VC++Digital image processing

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.)

压缩感知重构算法去噪方法，以及一系列改进方法(Compression-aware reconstruction algorithm denoising method, as well as a series of improved methods)

数字图像处理同态滤波器 数字图像处理 冈萨雷斯二版 p153例4.10(Homomorphic filter Digital Image Processing Digital Image Processing Gonzalez p153 cases 4.10)