Recent imaging science and technology discoveries have considered hyperspectral
imagery and remote sensing. The current intelligent technologies, such as support vector …

Advances in hyperspectral sensing provide new capability for characterizing spectral
signatures in a wide range of physical and biological systems, while inspiring new methods …

随着模式识别, 机器学习, 遥感技术等相关学科领域的发展, 高光谱遥感影像分类研究取得快速
进展. 本文系统总结和评述了当前高光谱遥感影像分类的相关研究进展, 在总结分类策略的基础 …

The deep convolutional neural network (CNN) is of great interest recently. It can provide
excellent performance in hyperspectral image classification when the number of training …

In this paper, collaborative representation is proposed for anomaly detection in
hyperspectral imagery. The algorithm is directly based on the concept that each pixel in …

Convolutional neural network (CNN) is well known for its capability of feature learning and
has made revolutionary achievements in many applications, such as scene recognition and …

Hyperspectral image (HSI) classification is an important topic in the community of remote
sensing, which has a wide range of applications in geoscience. Recently, deep learning …

高光谱遥感是对地观测的重要手段, 高光谱图像处理与信息提取技术则是高光谱遥感领域的核心
研究内容之一. 本文简要介绍了高光谱遥感的主要特点, 系统梳理了高光谱图像处理与信息提取 …

Hyperspectral imagery typically provides a wealth of information captured in a wide range of
the electromagnetic spectrum for each pixel in the image; however, when used in statistical …

Hyperspectral sensors record the reflectance from the Earth's surface over the full range of
solar wavelengths with high spectral resolution. The resulting high-dimensional data contain …