Airborne unmixing-based hyperspectral super-resolution using RGB imagery
Airborne unmixing-based hyperspectral super-resolution using RGB imagery
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DOI：
10.1109/igarss.2014.6947019
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发表时间：
2014-07
期刊：
影响因子：
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通讯作者：
N. Yokoya;A. Iwasaki
中科院分区：
文献类型：
--
作者：
N. Yokoya;A. Iwasaki
本文提出了使用 RGB 图像进行基于解混合的高光谱超分辨率机载实验。预处理旨在确保高光谱和 RGB 图像之间的空间和光谱一致性。为多传感器高光谱超分辨率引入了耦合非负矩阵分解（CNMF）的扩展版本，以处理具有挑战性的问题设置，即仅三个光谱通道即可获得更高的空间信息和地面采样距离的 10 倍差异。该方法成功地估计了高空间分辨率的红边图像。通过将高空间分辨率高光谱图像与地面测量光谱进行比较的数值评估证明了所提出的方法可以恢复纯像素光谱。
This paper presents an airborne experiment on unmixing-based hyperspectral super-resolution using RGB imagery. Preprocessing is described to ensure spatial and spectral consistency between hyperspectral and RGB images. An extended version of coupled nonnegative matrix factorization (CNMF) is introduced for multisensor hyperspectral super-resolution to deal with a challenging problem setting, i.e., only three spectral channels for higher spatial information and a 10-fold difference of ground sampling distance. The proposed method successfully estimated the high-spatial-resolution red-edge image. Numerical evaluation by comparing the high-spatial-resolution hyperspectral image to ground-measured spectra demonstrated recovery of pure-pixel spectra by the proposed method.