搜索资源列表
PCA
- 高光谱遥感与传统的单波段、多光谱数据相比，波段量大量增加、波段宽度极大降低，对地面目标的光谱特性的测度更加细致，然而波段的增多必然导致数据量急剧增加、计算量增大、信息冗余增加以及统计参数的估计偏差增大。因此，对高光谱数据进行降维处理具有重要意义。一方面，降维能够使图像远离噪声，提高图像数据质量；另一方面，能够去除图像中的无价值波段，减少波段数，从而降低计算量，提高运算效率。主成分分析是常用的高光谱数据降维处理方法之一。(Compared with the single band, hypersp
5230
- Complete set content, basic hyperspectral image processing, For feature extraction, signal de-noising, matlab prepared cellular automata.
krcbh
- Complete set content, basic hyperspectral image processing, Least-squares regression analysis algorithm, Independent component analysis algorithm reduces the raw data noise.
nie_vw50
- Complete set content, basic hyperspectral image processing, Chaos-based simulated annealing algorithm, Achieve a grayscale image and further control for video surveillance.
average
- 对于遥感数据中高光谱数据进行平均处理功能，可以自我选择光谱条数(The average processing function of hyperspectral data in remote sensing data can be used to select spectral lines)
sai-V3.5
- A window function design FIR digital band-pass filter, Complete set content, basic hyperspectral image processing, There are cycle detection, periodic testing.
3311
- Conducted through virtual array DOA estimation, Use Chaos and fractal analysis routines, Complete set content, basic hyperspectral image processing.
duqu
- 本程序只适合用于高光谱图像读取，没有其他功能，要提前知道图像的大小。(This program is only suit for hyperspectral image reading, no other function, to know the size of the image ahead of time.)
高光谱图像飞机目标检测研究
- 高光谱图像飞机目标检测研究，感觉不错，推荐！(Research on aircraft target detection in hyperspectral imagery)
envi-spectrum-master
- 高光谱图像读写附头文件 功能比较齐全 可以学习一下(Hyperspectral image reading and writing attached file. The function is complete and can be learned.)
freadenvi
- matlab读取高光谱图像,把高光谱图像读取成一个矩阵，同时读取其他图像信息(Matlab reading hyperspectral images)
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)
claasifyKmeans
- 利用Kmeans对高光谱图像分类,很好的程序(hyperspectral image classification using kmeans method)
PaviaEMPSVM
- 利用形态学滤波结合SVM分类算法对高光谱图像进行分类(Using morphological filtering and SVM classification algorithm to classify hyperspectral images)
53607900Autoencoder_Code
- 用SAE 深度学习方法做的高光谱图像分析的一个例子。里面有sae方法还有高光谱图像的特征提取过程。(One example of the depth of learning to do with SAE hyperspectral image analysis. There are sae method has hyperspectral image feature extraction process)
sp_pagwf
- a hybrid deep convolutional neural network (CNN) for vehicle detection from satellite images. And the research in [13] introduced the stacked autoencoder to extract spatial informative features for hyperspectral images classification.
37724123PPI
- 用于高光谱图像的端元提取 使用PPI 算法 获得候选端元(endmember extraction for hyperspectral images.)
cc_wavelet
- 对高光谱数据进行1-12层小波分解和重构，并与实测数据相对应进行相关性分析(The hyperspectral data is decomposed and reconstructed by 1-12 layer wavelet and correlated with the measured data)
rxd
- 高光谱异常检测经典算法rxd与改进算法kxd函数(Hyperspectral anomaly detection algorithm and improved RXD algorithm KXD function)
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.)