标题： 太阳的多光谱和多尺度视图 显示英文标题

标题： A multispectral and multiscale view of the Sun

摘要： 一种被称为空间天气的新学科的出现，旨在理解和预测太阳活动对地球环境和技术系统的影响，导致了对实时分析太阳图像的需求不断增加。 然而，太阳图像数量的迅速增长使得对其进行科学研究处理变得越来越不切实际。 这种情况促使开发了新的处理技术，用于特征识别、图像跟踪、知识提取等。 本文重点介绍两个特定概念，并列出它们的一些应用。 第一个是盲源分离（BSS），它在压缩多光谱图像中包含的信息方面具有巨大潜力。 第二个是多尺度（多分辨率或小波）分析，它特别适合捕捉太阳图像中的尺度不变结构。 本文简要概述了现有和潜在的用于紫外波段拍摄的太阳图像的应用。 显示英文摘要

摘要： The emergence of a new discipline called space weather, which aims at understanding and predicting the impact of solar activity on the terrestrial environment and on technological systems, has led to a growing need for analysing solar images in real time. The rapidly growing volume of solar images, however, makes it increasingly impractical to process them for scientific purposes. This situation has prompted the development of novel processing techniques for doing feature recognition, image tracking, knowledge extraction, etc. Here we focus on two particular concepts and list some of their applications. The first one is Blind Source Separation (BSS), which has a great potential for condensing the information that is contained in multispectral images. The second one is multiscale (multiresolution, or wavelet) analysis, which is particularly well suited for capturing scale-invariant structures in solar images. This article provides a brief overview of existing and potential applications to solar images taken in the ultraviolet.