成像光谱图像分类技术研究进展

Advances of Imaging Spectrum Classification

分类是遥感图像分析处理的一个重要环节,它是各种高级应用的基本前提。成像光谱遥感作为遥感领域一个新的发展方向,在提供更为丰富的光谱信息的同时,也使得传统的分类技术面临诸多新的挑战。本文从特征提取和分类器的设计两个方面对成像光谱图像分类的主要研究进展进行了论述。

Classification is an advance applications. As one important step in remote sensing image processing, it is often the base of other of the new development directions of remote sensing technology, imaging spectral data can provide much abundance information for further applications. However, it is also a challenge for the traditional classification methods. The progress of imaging spectral data classification is reviewed from its two aspects including feature extraction and classifier design.