搜索资源列表
Full2012
- 1. 本研究利用 PCA 对可见-近红外(450~1 000 nm)、可见光(450~780 nm)和近红外(780~1 000 nm)光谱区域的苹果高光谱图像数据进行降维,获得 PC 图像,通过对 PC 图像进行分析,确定可用于分割损伤和正常区域的有效光谱区域,对比分析几个光谱区域的 PCA 的效果。-but currently no practical system for detecting blood spots and dirt stains exists. In order to
三维数据转为二维数据
- 处理多光谱、高光谱图像,需要先进行图像信息的数据转化,转为二维数据后才能进行进一步分类等工作
linearprediction
- 几篇比较好的关于高光谱图像预测编码的文章-A few relatively good prediction on hyperspectral images coded article
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
pca
- 经典主成分分析法,实现高光谱图像的降维处理 -Classical principal component analysis, to achieve high spectral image dimensionality reduction
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
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.
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
非负矩阵分解
- 盲信号分离中的非负矩阵分解,高光谱图像解混等等。
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
Hyperspectral-Imageing-detect
- 高光谱图像的目标检测算法,可以比较深入的学习一下-Hyperspectral image target detection algorithm can learn more in-depth
Hyperspectral-anomaly-detection-1
- 这是一个基于波段子集特征融合的高光谱图像异常检测算法,研究高光谱目标检测的同学可以参考一下。-This is an image-based anomaly detection algorithm for hyperspectral subset of feature fusion band, hyperspectral target detection research students can refer to it.
hyperspectral-3
- 这是一种高光谱图像波段选择的快速混合搜索算法,感兴趣的同学可以参考一下。-This is a kind of fast hybrid search algorithm of hyperspectral images band selection, interested students can refer to it.
ENVIMNFTrans
- 高光谱图像进行MNF变换,采用MAF评价图像的噪声;处理过程与ENVI软件中的完全一样。-MNF transformation of hyperspectral images, using noise MAF to evaluate the image.the process is exactly the same with ENVI software .
mnf
- Matlab实现的最大噪声分离变换(MNF),可以处理RGB图,高光谱图像以提取图像特征。算法速度较快,注释详尽。-Matlab achieve maximum noise separation transform (MNF), can handle RGB graph, hyperspectral images to extract image features. Algorithm faster, detailed notes.
verstripewipe
- 全局法图像垂直条纹去除程序。可以处理高光谱图像、RGB图像,注释详尽。对于倾斜的条纹噪声图像,需要西安进行旋转,再使用该程序去除。内涵循环低速版和无循环高速版,通过比较(处理高光谱数据),高速版的速度比低速版快上近20倍。-Global image vertical stripes removal procedures. Can process the hyperspectral image, RGB image, detailed notes. The stripe noise images