FractalFox

实现一个简单的PCA降维与重构程序，用到的数据在.txt文件中。还有用于测试的.m文件(To achieve a simple PCA dimension reduction and reconstruction procedures)

说明：  SRM空间富模型隐写分析算法,选区高维特征，使用集成分类器进行训练(Spatial Rich Model Steganalysis Algorithms, Selection of High-Dimensional Features, Using Integrated Classifier for Training)

IPN 相关性一致性计算：一致相关性系数，皮尔逊系数等 ( IPN_ccc - Computes the concordance correlation coefficient for evaluating reproducibility. IPN_icc - Computes the interclass correlations for indexing the reliability analysis IPN_kendallW- Computes the Kendall s W. IPN_pearsonR- Computes the Pearson s R.)

说明：  利用图象边缘特征的基于豪思道夫距离的景象匹配算法，匹配速度要比基于灰度的算法高好几个数量级(use of the images on the edge of Ho Sze-Astoria distance from the scene matching algorithm, speed matching gray than the algorithm based on several high-volume)

说明：  基于mmdetection框架的深度学习目标检测框架(deep learning object detection based on mmdetection)

说明：  logistic混沌映射图，可以得到对logistic混沌映射图和基于logistic对图像加密(Logistic chaotic map)

MATLAB在图像处理方面的优选教材，做遥感图像处理的同学可以下载学习(MATLAB in the optimization of image processing materials, remote sensing image processing students can download learning)

对目前光电的三网融合，并结合公司具体的业务进行探讨。(The current photoelectric triple play, combined with the company to discuss specific business.)

说明：  UNet最早发表在2015的MICCAI上，短短3年，引用量目前已经达到了4070，足以见得其影响力。而后成为大多做医疗影像语义分割任务的baseline，也启发了大量研究者去思考U型语义分割网络。而如今在自然影像理解方面，也有越来越多的语义分割和目标检测SOTA模型开始关注和使用U型结构，比如语义分割Discriminative Feature Network(DFN)(CVPR2018)，目标检测Feature Pyramid Networks for Object Detection(FPN)(CVPR 2017)等。(Its influence has reached 70% in 2015. Then it became the baseline that most of the medical image semantic segmentation tasks, and inspired a large number of researchers to think about the U-shaped semantic segmentation network. In the aspect of natural image understanding, more and more SOTA models of semantic segmentation and object detection begin to pay attention to and use U-shaped structure, such as semantic segmentation, discriminative feature network (DFN) (cvpr2018), feature pyramid networks for object detection (FPN) (CVPR 2017), etc.)

基于巴谷星表星挑选出等小于2的恒星，利用matlab实现可生成任意方向的导航星星图以作为天文导航识别定位定姿依据的程序。(Pick out the star catalog prakob etc. less than 2 stars for navigation based on star map can be generated in any direction as celestial navigation positioning and orientation according to the recognition procedure using matlab.)