main_lee

基于matlab的图像加密，直接运行就行(Image encryption based on matlab)

写成gauss-gamma双窗函数，计算含有相干斑噪声的sar图像的梯度(The gauss-gamma double window function is used to calculate the gradient of the SAR image with the speckle noise)

对清晰图像加模糊并用时域和频域的方法分别实现对模糊参数的估计并将图像复原（其中用频域的方法实现对模糊角度的估计）(Clear picture of the additive fuzzy and time-domain and frequency domain methods, respectively, to achieve the estimated fuzzy parameters and image restoration (including the method used to achieve frequency domain point of view of fuzzy estimates))

Segmentation Algorithm

文献，基于融合和聚类的遥感图像变化检测技术(Literature, based on remote sensing image fusion and change detection clustering technology)

图像平移处理，可以图片进行平移变换处理，提供演示图片(Image translation process, it can image pan transformation process provides demonstration image)

说明：  基于cs的sar成像仿真，包括omp、sl0、osl0、onsl0等cs算法(ISAR imaging simulation based on CS, including OMP, sl0, osl0, onsl0 and other CS algorithms)

该源码为目标检测和跟踪算法 包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 (The source code for target detection and tracking algorithm include: 1 Static background background prediction target detection 2 Static background frame difference method for target detection 3. Mean Shift tracking method 4 multi-target tracking methods focus)

【实例简介】

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )