The NASA AVIRIS (Airborne Visible/Infrared Imaging Spectrometer) instrument acquired data over the Kennedy Space Center (KSC), Florida, on March 23, 1996. AVIRIS acquires data in 224 bands of 10 nm width with center wavelengths from 400 - 2500 nm. The KSC data, acquired from an altitude of approximately 20 km, have a spatial resolution of 18 m. After removing water absorption and low SNR bands, 176 bands were used for the analysis. Training data were selected using land cover maps derived from color infrared photography provided by the Kennedy Space Center and Landsat Thematic Mapper (TM) imagery. The vegetation classification scheme was developed by KSC personnel in an effort to define functional types that are discernable at the spatial resolution of Landsat and these AVIRIS data. Discrimination of land cover for this environment is difficult due to the similarity of spectral signatures for certain vegetation types. For classification purposes, 13 classes representing the various land cover types that occur in this environment were defined for the site.

一组标准的高光谱数据，以及自己编写 multibandread（）函数读取的matlab程序，和大家分享，应该对大家有帮助

非常好用的高光谱图像处理工具，可以直接使用，也可以在此基础上进行二次开发。好东西啊。

高光谱论文\非监督的高光谱图像解混技术研究

【项目代码】利用MATLAB对高高光谱图像数据进行分析，程序很全面，对做高光谱的同志很有帮助哦.rar

matlab实现用cnn高光谱图像分类，

资源来源于DoveJay，由于原程序不能显示图像，因此做了修改。需要不修改的请到http://download.csdn.net/download/dovejay/9820610下载

高光谱图像降维，可实现matlab对envi文件的直接读取，同时对高光谱图片直接处理。

高光谱图像解混技术，包括相关概念，国内外研究现状，相关算法及创新。相应的参考文献和算法公式。

讲述高光谱混合像元的问题，及提取的方法和流程，着重讲解图像端元丰度的反演方法，并进行实例分析