Review article Multisensor image fusion in remote sensing: Concepts, methods and applications
Обзорная статья: Слияние изображений, полученных с помощью различных сенсоров, в дистанционном зондировании: концепции, методы и приложения
1998-01-01
SCID: 54.1/y2amukq9
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Earth observation satellitesmultisensor image fusionmultisensor integrationpixel-based image fusionremote sensing
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Abstract (AI)
With the availability of multisensor, multitemporal, multiresolution and multifrequency image data from operational Earth observation satellites the fusion of digital image data has become a valuable tool in remote sensing image evaluation. Digital image fusion is a relatively new research field at the leading edge of available technology. It forms a rapidly developing area of research in remote sensing. This review paper describes and explains mainly pixel based image fusion of Earth observation satellite data as a contribution to multisensor integration oriented data processing.
Key Findings
1
Digital image fusion is characterized as a rapidly developing research field driven by advances in Earth-observation technology.
2
It focuses primarily on pixel-based fusion methods for integrating multisensor satellite data.
3
The paper addresses fusion across multisensor, multitemporal, multiresolution, and multifrequency imagery.
4
The review identifies digital image fusion as a valuable tool for evaluating remote-sensing imagery from diverse Earth-observation sensors.
5
The review presents concepts, methods, and applications of image fusion for multisensor integration-oriented remote-sensing processing.
Research Object
multisensor, multitemporal, multiresolution, and multifrequency Earth observation satellite image data
Research Subject
pixel-based digital image fusion for multisensor integration and remote sensing image evaluation
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Publication Date
1998-01-01
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