搜索资源列表
包括常用的IHS,PCA 加权图像融合三种算法的Matlab源代码
- 包括常用的IHS,PCA 加权图像融合三种算法的Matlab源代码,Which are used in the IHS, PCA-weighted Image Fusion Algorithm three Matlab source code
PCA
- 基于PCA的遥感图像融合，效果不错。可以作为遥感图像融合方面入门学习使用。-PCA-based remote sensing image fusion, good results. Integration of remote sensing images can be used as an introduction to use.
pca
- 主成分分析ppt。对做图像分析以及融合很有帮助。从别处转来的。希望有用。-Principal component analysis ppt. Right to do image analysis and fusion helpful. Have been transferred there. Want to be useful.
PCAfusion
- 用主成分分析（PCA）作融合（FUSION）的文献，英文的，从IEEE下载得到-Using principal component analysis (PCA) for fusion (FUSION) literature, English, and download from the IEEE be
103244821wavelet-image-fusion
- 实现图像之间的数据融合，主要方法有基于HIS变换的，基于PCA变换的，基于加权变换的。-Between image data fusion, the main methods of transformation based on the HIS, based on the PCA transform, based on the weighted transform
PCA
- 主成分分析法能较好地实现图像融合，特别是空间特征保持非常好，但光谱特征的保持性要差一些。-Principal Component Analysis to achieve a better image fusion, in particular, to maintain a very good spatial characteristics, but to maintain the spectral characteristics of some worse.
PCA_fusion
- PCA融合程序， 简明易懂，适合初学matlab图像融合的朋友-PCA fusion
ImagefusionPCAandIHS
- 给出了图像融合中三种经典的融合算法：加权融合、PCA融合和IHS融合。程序中有比较详细的说明，特别适合初学图像融合者使用-Image fusion are given the convergence of three classical algorithms: weighted fusion, PCA fusion and IHS fusion. Procedures are a more detailed explanation, especially for beginners to use
PCA
- 基于PCA变换的多传感器图像融合质量评价-Quality Assessment of Multi-source Image Fusion Based on PCA Transform
fuse_pca
- 基于主分量分析的图像融合算法实现，matlab实现，直接输入两幅图像即可-PCA-based image fusion algorithm, matlab implementation, two images can be directly
PCA_LDA_Face_Verification
- PCA+LDA人脸识别，识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。-Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduction toolbox is requrired.
PCAbased-Laplacian-pyramid
- 本文阐述了基于主元分析的拉普拉斯金字塔图像融合的原理和方法:首先对原图像分别进行拉普拉斯 金字塔分解,然后分别对高频部分采用主元分析（PCA）法融合,对低频部分采用平均梯度法进行融合,最后对 拉普拉斯金字塔做反变换得到最终的融合图像。通过对可见光与红外图像的融合，以及对不同焦距图像融合 的结果分析，该算法比单纯的PCA和拉普拉斯图像融合能得到具有更多有用信息的高对比度的融合图像-In this paper, principal component analysis based on
PCA
- matlab实现pCA遥感图像融合，包含了pca源文件-Remote sensing image fusion matlab realize pCA
IHS-PCA-fusion--Matlab
- IHS,PCA加权图像融合三种算法的Matlab源代码-IHS,PCA Matlab
PCA
- pca图像融合代码，高分辨率和低分辨率的融合-pca fusion image fusion, high resolution and low resolution
PCA融合
- 对于两幅图像进行PCA融合，对高分辨率的灰度图像和低分辨率的彩色图像进行融合(For the two images of PCA fusion, the high resolution gray image and low resolution color image fusion)
pca
- fusion d'image satilittaire
pca_imagefusion
- 基于pca权值的图像融合算法，在 遥感图像融合领域中作用显著(The image fusion algorithm based on PCA plays an important role in the field of remote sensing image fusion)
PCA
- PCA图像融合效果挺好可以试试.......(PCA fuction image fusion effect is good, you can try)
PCA
- 基于主成分分析的遥感图像融合算法，融合结果质量较好。(The fusion algorithm of remote sensing image based on principal component analysis has better fusion result.)