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Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods
Open accessAbstract
Usual image fusion methods inject features from a high spatial resolution panchromatic sensor into every low spatial resolution multispectral band trying to preserve spectral signatures and improve spatial resolution to that of the panchromatic sensor. The objective is to obtain the image that would be observed by a sensor with the same spectral response (i.e., spectral sensitivity and quantum efficiency) as the multispectral sensors and the spatial resolution of the panchromatic sensor. But in these methods, features from electromagnetic spectrum regions not covered by multispectral sensors are injected into them, and physical spectral responses of the sensors are not considered during this process. This produces some undesirable effects, such as resolution overinjection images and slightly modified spectral signatures in some features. The authors present a technique which takes into account the physical electromagnetic spectrum responses of sensors during the fusion process, which produces images closer to the image obtained by the ideal sensor than those obtained by usual wavelet-based image fusion methods. This technique is used to define a new wavelet-based image fusion method.
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Cites
Daubechies, I. (1992) · doi:10.1137/1.9781611970104 · Cited by 15,979
Cited by
Ghamisi, P., Yokoya, N., Li, J., Liao, W., Liu, S., Plaza, J., Rasti, B., & Plaza, A. (2017) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2017.2762087 · Cited by 909
A multiscale and multidepth convolutional neural network for remote sensing imagery pan-sharpening
Yuan, Q., Wei, Y., Meng, X., Shen, H., & Zhang, L. (2018) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2018.2794888 · Cited by 649
Pixel-wise regression using U-Net and its application on pansharpening
Yao, W., Zeng, Z., Lian, C., & Tang, H. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.05.103 · Cited by 133
Metadata
- Authors
- Otazu, X., Gonzalez-Audicana, M., Fors, O., & Nunez, J.
- Venue
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 2005-10
- Volume
- 43
- Issue
- 10
- Pages
- 2376-2385
- ISSN
- 0196-2892 (ISSN-L)
- OpenAlex
- W2163677711
- Cited by
- 850
- References
- 1
- FWCI
- 37.27
- Type
- journal article
- Language
- en
- Open access
- green
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