摘要
遥感影像融合能富集同一地区不同数据源的信息大跨度波谱特性影像（如光学和雷达影像）数据的融合，提供了有关各单个传感器的互补信息，使分类更精确；大跨度空间分辨力影像（如全色航片与ＴＭ影像）的融合，有利于改善多光谱影像的锐度，增强特征提取和目视判读能力，能有效地用于变化监测。目前国际上讨论的影像融合有３种基本方法：１．基于像元的融合；２．基于特征的融合；３．基于判决水平的融合。该文论述了多源遥感影像以像元为基础的加权融合、基于小波理论的特征融合和基于贝依斯法则的分类融合理论和方法。
Remote sensing image fusion of different data sources of the same area can be used to enrich the information about the interested areas. The image fusion of the most different bands of electro-magnetic spectrum (such as optical and radar data), provides additional information with respect to each of single sensor separately, thus more accurate classification can be achieved. Fused high spatial resolution data (such as panchromatic air photo) and lower spatial, but higher spectral resolution data (such as LANDSAT TM), can improve image sharpness and enhance feature extraction and visual interpretation, and can be used for objects' detection change. At present image fusion has three basic methods to be discussed on remote sensing section: 1. pixel-based fusion, 2.feature-based fusion, 3.decision-level fusion. In this paper three methods of multisource image fusion are discussed. They are pixels-based weight fusion, feature fusion based on wavelet transform and separate classes fusion based on Bayes rule.
出处
《遥感学报》
EI
CSCD
1998年第1期47-50,T002,共5页
NATIONAL REMOTE SENSING BULLETIN
基金
国家科委"九五"重中之重科技攻关项目
国防科工委"九五"科技项目
关键词
多源遥感影像
加权融合
特征融合
影像融合
遥感
Multi-source image, Weight fusion, Feature fusion, Separate classes fusion
