资源列表
影像匹配程序
- 数字摄影测量中的相关系数法影象匹配程序,vc实现.提供例子数据,为raw格式-Digital Photogrammetry of the correlation coefficient method image matching procedures, vc achieve. For example, for the raw format
unwrap
- 相移三步法、四步法、五步法及相应的相位解包裹程序
STUN_PS.rar
- 著名的psinsar小组开发的MATLAB 源码。可供学习。 ,Kampes, B.M., "Radar Interferometry-- The Persistent Scatterer Technique", published by Springer, 2006. The software consists of a Matlab toolbox. Matlab must be installed on your system in order to use it.
fenshuiling 关于图像分割技术
- 此程序是关于图像分割技术,用分水岭和suan算子对细胞图像进行分割,并对细胞进行计数和统计。算出细胞个数和细胞面积。-This program is about image segmentation, watershed and suan operator with the cell image segmentation, and cell counting and statistics. Calculate the cell number and cell size.
Meanshift
- 根据网址http://www.caip.rutgers.edu/riul/research/code.html 提供的代码,对Meanshift图像分割进行了封装实现,提供了Matlab和C两种调用接口。-According to Web site http://www.caip.rutgers.edu/riul/research/code.html the code provided on the packaging Meanshift image segmentation was achie
MCA
- 采用多成分分析算法进行图像分解,并对该算法进行评价-MCA picture dissolution
dehazing
- 偏振去雾 Yoav Y.Schechner,一直研究偏振去雾算法,典型的代表作,blind haze separation, advanced visiblity improvement based on polarization filtered images,-Polarization defogging Yoav Y.Schechner, has been studying the polarization defogging algorithm, a typical repres
LSD_C
- 自己实现的LSD直线检测算法,比论文提供的LSD检测算法少了很多复杂操-LSD own line detection algorithm implemented, LSD detection algorithm than the paper offered a lot less complicated operation
matlab小波分解时频分析
- 传统的傅立叶变化只能分析时域、频域图,而小波变化能进行时频分析,对信号进行更好的处理。(The traditional Fourier transform can only analyze the time domain and frequency domain diagram, while the wavelet transform can carry on the time-frequency analysis and better deal with the signal.)
自动报靶系统Matlab程序
- 基于matlab的自动报靶系统,文件内包括matlab源码以及GUI图形界面,以及模拟射击的靶纸图像,程序运行无误,靶纸环数识别准确。(Automatic target scoring system based on MATLAB)
SG滤波_Matlab
- 一般用来做时间序列的平滑,比如MODIS的NDVI EVI等植被指数的平滑,消除 云 缺失值等噪声,提升数据质量,对于时间序列的研究是一种重要的处理方法。
基于压缩感知的SAR成像仿真程序
- 基于cs的sar成像仿真,包括omp、sl0、osl0、onsl0等cs算法(ISAR imaging simulation based on CS, including OMP, sl0, osl0, onsl0 and other CS algorithms)