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地理科学与资源研究所 [1]
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期刊论文 [1]
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2009 [1]
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Analytical... [1]
Chemistry [1]
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学科主题:Chemistry
专题:地理科学与资源研究所
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Advances in Multi-Sensor Data Fusion: Algorithms and Applications
期刊论文
With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single sensor. In image-based application fields, image fusion has emerged as a promising research area since the end of the last century. The paper presents an overview of recent advances in multi-sensor satellite image fusion. Firstly, the most popular existing fusion algorithms are introduced, with emphasis on their recent improvements. Advances in main applications fields in remote sensing, including object identification, classification, change detection and maneuvering targets tracking, are described. Both advantages and limitations of those applications are then discussed. Recommendations are addressed, including: (1) Improvements of fusion algorithms; (2) Development of, 2009, 卷号: 9, 期号: 10, 页码: 7771-7784
作者:
Zhuang, Dafang(庄大方)
;
Fu, Jingying
;
Huang, Yaohuan
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提交时间:2011/06/10
multi-sensor
data fusion
remote sensing
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