| 多源遥感影像融合 |
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| 引用本文： | 刘继琳.多源遥感影像融合[J].遥感学报,1998,2(1):47-50,T002. |
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| 作者姓名： | 刘继琳 |
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| 作者单位： | 武汉测绘科技大学信息工程学院 |
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| 基金项目： | 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 |
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| 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 融合，有利于改善２多光谱影像的度，增强特征提取和目视判读能力，能有效地用于变化监测。
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| 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 Remote Sensing Image Data Fusion |
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| Sun Jiabing Liu Jilin,Li Jun.Multi-Source Remote Sensing Image Data Fusion[J].Journal of Remote Sensing,1998,2(1):47-50,T002. |
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| Authors: | Sun Jiabing Liu Jilin Li Jun |
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| Abstract: | 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. |
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| Keywords: | Multi-source image Weight fusion Feature fusion Separate classes fusion |
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