Multi-Sensor Image Fusion: Difficulties and Key Techniques

Image fusion is nothing but information fusion on the basis of acquired images. From this understanding, image fusion is not a "pure" image processing problem. Rather, we should pay more attention to the underlying physical mechanism needed by image fusion. In this paper we discuss a few p...

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Published in2009 2nd International Congress on Image and Signal Processing pp. 1 - 5
Main Authors Mouyan Zou, Yan Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
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ISBN1424441293
9781424441297
DOI10.1109/CISP.2009.5300949

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Abstract Image fusion is nothing but information fusion on the basis of acquired images. From this understanding, image fusion is not a "pure" image processing problem. Rather, we should pay more attention to the underlying physical mechanism needed by image fusion. In this paper we discuss a few primary problems that would be essential in the theory and technique of multi-sensor image fusion. On this basis, we put forward a few research topics that could be challenging for researchers in our area.
AbstractList Image fusion is nothing but information fusion on the basis of acquired images. From this understanding, image fusion is not a "pure" image processing problem. Rather, we should pay more attention to the underlying physical mechanism needed by image fusion. In this paper we discuss a few primary problems that would be essential in the theory and technique of multi-sensor image fusion. On this basis, we put forward a few research topics that could be challenging for researchers in our area.
Author Yan Liu
Mouyan Zou
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  organization: Grad. Univ., Chinese Acad. of Sci., Beijing, China
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Snippet Image fusion is nothing but information fusion on the basis of acquired images. From this understanding, image fusion is not a "pure" image processing problem....
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SubjectTerms Agriculture
Image fusion
Image generation
Image processing
Image segmentation
Image sensors
Infrared heating
Pixel
Sensor fusion
Statistics
Title Multi-Sensor Image Fusion: Difficulties and Key Techniques
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