资源列表
BPP
- 对于单基地SAR，使用BP算法进行成像，展示回波信号幅度、相位、距离压缩后以及最后成像的图像。(For single base SAR, BP algorithm is used to image, which shows the amplitude, phase, distance compressed and final image of echo signal.)
KNN手写数字识别
- 可支持手写数字识别，r和python两种语言编写，生成画板鼠标手写输入，也支持上传图片(Handwritten digit recognition)
Dichromatic-Decomposition-master
- 双色反射模型进行高光和漫反射分离。最简单版本。(Two color reflection model is used to separate highlight and diffuse reflection. The simplest version.)
SVMRFE
- 特征选择算法，防止分类结果出现过拟合，提前对多维的特征向量进行选择筛选(A feature selection algorithm)
图片-图片分割
- 课程设计作业 调试后可用 自适应图像分割算法(Adaptive image segmentation algorithm)
Digital_Holography
- 通过参考光进行的数字全息再现的matlab模拟过程，有注释，分为球形光和平行光(Matlab simulation process of digital holographic reproduction through reference light, with annotations, divided into spherical light and parallel light)
python图像处理
- 本文章讲解了一些基本的关于python的图像的处理，设计裁剪，缩放等操作。(This article explains some basic operations about Python image processing, design clipping, zooming, etc.)
Brief
- python实现的运用brief算法提取特征点的图像拼接(The implementation of Python using brief algorithm to extract feature points of image mosaic)
扩展工具
- EVVI5.4扩展工具 ChinaSatellitesSupport envi_hj1a1b_tools.sav modis_aerosol_inversion.sav envi_curve_fitting.sav MCTK envi_landsat8_lst.sav \classic\save_add\CART envi_vegetation_enhance.sav frame_subset_via_shapefile.sav SetRasterMetadata.task envi_app_s
火焰识别代写
- 此代码用于识别图片中火焰,整体思路为通过对图像的颜色处理找出图中感兴趣区域(可能为火焰的区域)及其 轮廓, 再提取轮廓的几何特征判断是否为火焰(This code is used to identify the flame in the picture. The overall idea is to find out the area of interest (possibly the area of flame) and its contour in the picture through c
完成结果
- 使用matlab 的GUI界面，添加图像锐化增强函数，进行交互式操作(Image sharpening enhancement)
MY_PFH
- 计算激光雷达点云数据的点特征直方图，即PFH特征(calculate point features historm of LIDAR data)