资源列表
3DPeS_ReId_Snap
- 步态图像数据，可以用于目标跟踪中的步态数据提取训练(Gait image data, can be used for gait data extraction training in target tracking.)
HNO
- debluring, image matrix, spectra, and filtering经典去模糊书籍的代码(debluring, image matrix, spectra, and filtering. classical debluring codes)
碎纸片拼接
- 此matlab程序用于横向和纵向都被剪碎的纸片的拼接复原，高质量(This matlab program is used for the stitching of both horizontal and vertical pieces that are cut and broken, and of high quality)
1
- IDL大气校正，镶嵌源码， 对于新手学习帮助很大。(IDL atmospheric correction, mosaic source code, for beginners to learn a lot of help.)
GD
- 机器学习课程中的梯度下降算法的代码示例（MATLAB版本）(Code examples of gradient descent algorithms in machine learning programs)
final
- 一种交通标志的ROI分割算法，运用HSV空间的颜色信息和Hu不变矩的形状信息进行识别(A ROI segmentation algorithm for traffic signs, which uses the color information of HSV space and the shape information of Hu invariant moments to recognize)
cloude
- SAR影像cloude分解，提取极化信息(PolSAR cloude decomposition)
testDBSCAM_matlab
- matlab实现的DBSCAN聚类分析，通过文件输入数据，不同的颜色代表一类数据(Matlab implementation of DBSCAN clustering analysis, through the document import data, different colors represent a category of data)
WPSNR
- 计算信噪比的测试程序代码，利用对比敏感度函数（CSF）测量失真图像的空间频率。(Calculation of the test code SNR, the contrast sensitivity function (CSF) measurement of the spatial frequency of image distortion.)
Spectral_ClusteringNJW
- 谱聚类能够识别任意形状的样本空间且收敛于全局最优解，其基本思想是利用样本数据相似矩阵的进行特征分解后得到的特征向量进行聚类，程序进行了几种不同聚类算法的比较，包括Q矩阵聚类，kmeans聚类，第一特征分量聚类，第二广义特征分量聚类，公用数据生成和近邻矩阵生成(Spectral clustering can distinguish arbitrary sample space and converge to the global optimal solution, the basic idea i
SRCNN_train
- 基于深度学习的超分辨率重建，三层卷积神经网络(super resolutino deep learning)
ASIFT算法
- ASIFT算法实现，C++,对有仿射变换的图像匹配更加准确，想比SIFT算子匹配点数多(ASIFT algorithm, C++, affine transformation of the image matching more accurate, want to match more than SIFT operator points)