搜索资源列表
tejo07Support
- 支持向量机在高光谱数据处理与分析中的应用-Support Vector Machine in hyperspectral data processing and analysis
L1G-R-hyperion-data-read-with-IDL
- L1GST或者L1R级Hyperion高光谱数据读取-L1GST or L1R grade Hyperion hyperspectral data read
SGfilt
- 如今的高光谱数据虽然提供了很多信息，确存在大量冗余的现象，为了方便后续操作，体现数据本质特点，现提供一组代码，可以实现数据的去噪与降采样。包含一组txt格式的测试数据。-Today hyperspectral data, while providing a lot of information, a lot of redundant phenomenon does exist, in order to facilitate subsequent operations, reflecting th
HyperSpe
- 关于高光谱的处理程序，一个GUI，包括主程序与子程序，功能实现有读取文件，基本的高光谱数据处理，主成分分析等功能-About hyperspectral processing program, a GUI, including the main program and subroutines, functions implementation has to read the file, the basic hyperspectral data processing, principal comp
readBil
- 采用Matlab下fread函数读取高光谱BIL文件数据-Using Matlab fread function to read hyperspectral BIL file data
gangfan_V0.6
- 利用matlab GUI实现的串口编程例子，毕设内容，高光谱图像基本处理，用MATLAB实现动态聚类或迭代自组织数据分析。- Use serial programming examples matlab GUI implementation, Complete set content, basic hyperspectral image processing, Using MATLAB dynamic clustering or iterative self-organizing data an
bingmui
- D-S证据理论数据融合，毕设内容，高光谱图像基本处理，未来线路预测,分析误差。- D-S evidence theory data fusion, Complete set content, basic hyperspectral image processing, Future line prediction, error analysis.
funben
- 毕设内容，高光谱图像基本处理，有小波分析的盲信号处理，主要为数据分析和统计。- Complete set content, basic hyperspectral image processing, There Wavelet Analysis Blind Signal Processing, Mainly for data analysis and statistics.
fenmun_v25
- 可以广泛的应用于数据预测及数据分析,毕设内容，高光谱图像基本处理，高斯白噪声的生成程序。- Can be widely used in data analysis and forecast data, Complete set content, basic hyperspectral image processing, Gaussian white noise generator.
maisun
- Relief计算分类权重，毕设内容，高光谱图像基本处理，可以实现模式识别领域的数据的分类及回归。- Relief computing classification weight, Complete set content, basic hyperspectral image processing, You can achieve data classification and regression pattern recognition.
faoyang_v15
- 模拟数据分析处理的过程，通过反复训练模板能有较高的识别率，毕设内容，高光谱图像基本处理。- Analog data analysis processing, Through repeated training LBjjugulate have higher recognition rate, Complete set content, basic hyperspectral image processing.
Open_ENVI
- 能够实现.bsq,.bil等遥感数据分块读取(It can realize the block reading of remote sensingdata)
bizhi
- 利用MATLAB程序编写的比值模型，用于遥感领域基于高光谱数据的水体浓度反演。(This is a ratio model based on MATLAB program. This model is used to retrieve water quality concentration from hyperspectral remote sensing data.)
thband
- 利用MATLAB程序编写的三波段和四波段模型，用于遥感领域基于高光谱数据的水体浓度反演。(This is a ratio and three-band model based on MATLAB program. This model is used to retrieve water concentration from hyperspectral remote sensing data.)
read_sed
- 读取PSR仪器sed文件，方便将获取的地物高光谱数据在其他软件中计算。(Read the spectral data from PSR-2500 to matrix, compute the spectral data in other software easily.)
程序_光谱解混_修订
- 高光谱数据光谱端元提取方法，和解混方法，包括PPI SGA VCA ATGP FCLS(Hyperspectral data spectral end element extraction method, conciliatory mixing method)
光谱数据_重采样
- 进行高光谱/多光谱数据的重采样。输入为任意光谱数据，输出为可以选择的新的光谱分辨率的光谱数据。(Carry out resampling of hyperspectral / multispectral data. The input is arbitrary spectral data, and the output is the spectral data of the new spectral resolution that can be selected.)
msc
- 可对高光谱数据进行多元散射校正处理，平滑光谱去噪(Multi-scatter correction processing for hyperspectral data, smooth spectral denoising)
CNN_Pavia-master
- 使用卷积神经网络进行高光谱遥感数据分类，使用的数据源为Pavia University高光谱数据 文件夹log--日志文件夹，存放TensorBorad日志、网络参数文件、混淆矩阵图 文件夹Patch--存放数据处理的切片结果 文件夹PaviaU--高光谱数据下载存放位置 文件夹predicted--CNN对原始影像的分类结果 data.py--对原始高光谱影像进行数据处理，生成切片 net.py--神经网络模型 train.py--训练神经网络 utils.py--需要用到的函数 show.p
KNN
- 高光谱图像knn分类算法，在PaviaU和Indianpines数据集上测试(Knn classification algorithm for hyperspectral images, tested on PaviaU and Indianpines datasets)