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image-pattern-recognition
- 文章拟采用机油和油菜的高光谱图像数据为具体对象，分别从光谱特性分析和图像特性分析两个角度，采用流形学习方法探索一种从非线性高光谱图像数据中提取低维本质信息的方法，结合支持向量机、线性判别分析等模式识别方法建立机油品种和油菜品种的识别模型 -Article intends to adopt oil and rapeseed hyperspectral image data for a specific object, respectively, from the spectral chara
pp
- 投影寻踪算法，对高光谱图像进行降维和检测处理-Projection pursuit algorithm for hyperspectral image dimensionality reduction and detection processing
laplacian_eigen
- 拉普拉斯算法，对高光谱图像进行降维处理，比较实用，多层分解方法-Laplace algorithm to reduce the dimension of hyperspectral image processing, more practical, multi-layer decomposition method
kernel_pca
- 核主成分分析法，用于高光谱图像的降维处理，效果较好-Kernel principal component analysis for hyperspectral image dimensionality reduction, better
ica
- 高光谱遥感图像光谱解混的独立成分分析技术-Hyperspectral remote sensing image spectra unmixing independent component analysis
small_image
- MATLAB实现的高光谱图像的端元提取，可以自己下载高光谱图像，然后修改下程序就能用了。-MATLAB implementation of hyperspectral image endmember extraction of hyperspectral images can download and modify the following program can be used.
Principal-component-analysis-code
- 在高光谱图像处理和分析中,主成分分析方法是使用最广泛的线性降维 方法之一,它概念简单,实现算法高效"在信号处理中,所谓的Karl血nen.b姆ve 变换实际上就是主成分分析 -In hyperspectral image processing and analysis, principal component analysis is the most widely used linear dimensionality reduction methods, it is conceptu
darc
- 一种基于谱内的高光谱图像预测算法，适合于压缩参考波段-Spectrum based on the prediction algorithm for hyperspectral images, suitable for reference-band compression
PCAfunction
- 对高光谱图像进行主成分分析，提取其中的主要信息-Hyperspectral images of the principal component analysis, extracting one of the main information
Target-Tracking
- 高光谱图像的目标跟踪检测，利用仿生双目构建的双高光谱相机全扫面检测并跟踪目标-Hyperspectral image target tracking and detection, using bionic eyes to build two full scan hyperspectral camera face detection and tracking targets
Hyperspectralterrain-classfic
- 高光谱图像的第五分类技术，对光谱分析并对比检测出地景的算法-Fifth hyperspectral image classification techniques, algorithms for spectral analysis and contrast detect landscapes
Hyperspectralpplication
- 讲诉了高光谱图像的应用前景和发展趋势的论文，入门有帮助-Recounts the prospect and development trend of hyperspectral images papers, entry helpful
Hyperspectralclassfic
- 深入的高光谱图像目标分类的方法，从光谱反射图像来分类目标-Hyperspectral image target depth classification method to classify the image from the spectral reflectance target
1
- Gaussian process and its applications in hyperspectral image classification
fenlei
- 空间约束半监督高斯过程下的高光谱图像分类 -Space constraints Semi-supervised hyperspectral image classification under the Gaussian process
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
xiaobo-pcnn
- 图像融合论文，基于小波变换和多通道脉冲耦合神经网络的高光谱图像融合-Image fusion papers, coupled wavelet transform and neural network-based multi-channel pulse hyperspectral image fusion
MultiSpecUniv_9.17.13f
- 一种处理多光谱-高光谱的图像分析软件，可用于Windows系统-MultiSpec—a tool for multispectral–hyperspectral image data analysis
new_SPIHT
- spiht 高光谱无损压缩，低复杂度，较好的压缩效果-spiht hyperspectral lossless compression, low complexity, better compression results
IPLib-
- 对高光谱或者彩色灰度影像进行分水岭分割！-Hyperspectral color or grayscale images watershed segmentation!