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 …

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 …

Spectral band selection is a fundamental problem in hyperspectral data processing. In this
letter, a new band-selection method based on mutual information (MI) is proposed. MI …

Hyperspectral imaging can provide narrow bands and continuous spectrum information.
However, hyperspectral image data have the characteristics of high dimensionality, rich …

高光谱遥感影像数据具有高维特征, 信息冗余, 不确定性显著, 小样本, 空谱合一等特征,
对其进行数据处理面临巨大挑战, 高光谱遥感影像降维是高光谱遥感的重要研究方向之一 …

Band selection is an important preprocessing step for hyperspectral image processing.
Many valid criteria have been proposed for band selection, and these criteria model band …

A number of algorithms have been developed for soil organic matter (SOM) or soil heavy
metal detection in airborne hyperspectral imagery with high spatial and spectral resolutions …

Due to the existence of noise and spectral redundancies in hyperspectral images (HSIs), the
band selection (BS) is highly required and can be achieved through the attention …

Because of the difficulty of obtaining an analytic expression for Bayes error, a wide variety of
separability measures has been proposed for feature selection. In this paper, we show that …

This paper concerns the problem of matching incompatible zonal geographies, for example
in the context of comparing census outputs over time. The automated zoning procedure …