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.
2019-12-21 20:35:08
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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
2019-12-21 20:32:22
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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。
2019-12-21 20:12:07
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以高空间分辨率的全色图像与高光谱分辨率的多光谱图像进行像素级双源融合为例, 详细地总结了卫星
多源遥感图像融合领域像素级融合的步骤、基本融合模型和优缺点, 重点分析了各种常见像素级融合方法的原
理和特点, 并归纳了像素级融合结果的主客观评价标准和评价方法, 以及像素级融合的主要应用领域, 最后讨论
了像素级融合目前存在的问题和今后的发展方向
2019-12-21 20:10:52
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