Image Feature Extraction of Code

利用R语言编程实现高光谱遥感的随机森林分类(Random Forest Classification Based on Hyperspectral Remote Sensing Using R Language Programming)

程序为实现RANSAC算法，通过阅读该程序后，对学习RANSAC非常有帮助.(Procedures for the realization of RANSAC algorithm, by reading the program after learning RANSAC very helpful.)

对图像进行分块处理，可以设置分块比例，该程序设置的是8*8的比例，将图像分成64块(The image processing block, you can set the ratio of the block, the program is set proportion of 8* 8, the image is divided into 64)

对各种不同的传感器测得数据进行融合处理，从而获得精确的环境信息，能够做出更正确的判断。这个是一位非常优秀的老师的课件，非常值得一看！是关于数据融合方面的(On a variety of sensor data fusion measured to obtain accurate environmental information to make more accurate judgments. This is a very good teacher of the courseware, is worth a visit! Data fusion)

基于分层的HOG的行人检测，具有很高的研究价值。(HOG based pedestrian detection layered with high research value.)

图形处理的部分，能进行图像的中值过滤处理(To the median filter for image processing)

说明：  自己写的Active Shape Model face segmentation 代码 (Write their own Active Shape Model face segmentation code)

雷达成像Dechirp 脉冲压缩代码 ，感兴趣的可以看看。(Radar the imaging Dechirp pulse compression code, and can see the interest.)

采用基于RL(Richardson-Lucy)算法的超分辨图像复原。能够实现图像的频谱外推，得到期望的复原图像。(The RL (Richardson-Lucy) algorithm-based super-resolution image restoration. Extrapolation of image spectrum, to obtain the desired restored image.)

基于CFA（颜色滤波阵列）插值检测的图像篡改检测程序(Image tamper detection based on CFA (color filter array) interpolation detecting.)