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Unmixing-based multisensor multiresolution image fusion
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DOI：10.1109/36.763276.png)
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摘要
En 中文
Constrained and unconstrained algorithms of the multisensor multiresolution technique (MMT) are discussed. They can be applied to unmix low-resolution images using the information about their pixel composition from co-registered high-resolution images. This makes it possible to fuse the low- and high-resolution images for a synergetic interpretation. The constrained unmixing preserves all the available radiometric information of the low-resolution image. On the other hand, the unconstrained unmixing may be preferable in case of noisy data. An analysis of the MMT sensitivity to sensor errors showed that the strongest requirement is the accuracy of geometric co-registration of the data; the co-registration errors should not exceed 0.1-0.2 of the low-resolution pixel size. Applications of the constrained and unconstrained algorithms are illustrated on examples of unmixing and fusion of the multiresolution reflective and thermal bands of a real TM/LANDSAT image as well as of a simulated image of the future ASTER/EOS-AM1 sensor.
Keyword:
image processing
image reconstruction
inverse problems
multisensor systems
remote sensing
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期刊
IF:
8.6
论文数:
2.1W
被引数:
10.7W
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引用论文
Multisensor image fusion in remote sensing: concepts, methods and applications遥感多传感器图像融合: 概念、方法与应用
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