my_3_STEP_search

说明：  face recognition example for learning

雷达信号处理一些相关操作，计算其距离向，方位向以及多普勒参数等。(radar signal processing)

通过erdas遥感软件提取水体的三种操作(Extracting water through software operation of the three operating)

基于多分辨率的NSST变换工具箱，用于图像融合效果好，且速度优于NSCT。(Based on Multi-resolution NSST conversion kit for image fusion effect is good, and the speed is better than NSCT.)

基于稀疏字典和稀疏编码的图像去噪算法，基于低秩约束的高光谱条纹噪声去除，包含论文及代码(Based on sparse dictionary and sparse coding image denoising algorithm, based on low rank constraints of hyperspectral fringe noise removal, including papers and code)

说明：  人工智能 caffe 用与ssd yolo(Artificial intelligence SSD Yolo)

使用adaboost方法进行人脸检测,图象库自己添加。(Face detection with adaboost method.)

圆心检测算法，使用matlab根据sci文章仿写，在图像质量不高的情况下检测效率较高。(Center of a circle detection algorithm, the use of matlab under the sci article仿写, image quality is not high in the case of a higher detection efficiency.)

评价描述子的好坏，能给出重叠率、正确率和查错率等(Evaluation of descriptors)

图像库中有240幅完整的和残缺的飞机和舰船遥感图像。可用hu矩对其特征提取，用于分类。(Image library has 240 complete and incomplete aircraft and ships remote sensing images. Available hu moments of its feature extraction for classification.)