Advantages of Laplacian pyramids over ''à trous'' wavelet transforms for pansharpening of multispectral images
By Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli, Massimo Selva. Remote Sensing, 2012
58 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/40d3a794f8ce70485207d4c0e736ccaba39fd88f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Jocelyn Chanussot
- Gemine Vivone
- Giuseppe Scarpa
- M. Dalla Mura
- Andrea Garzelli
- Rocco Restaino
- M. O. Ulfarsson
- Luciano Alparone
In Media Technology
- Jocelyn Chanussot
- Giuseppe Scarpa
- Gemine Vivone
- M. Dalla Mura
- Andrea Garzelli
- Rocco Restaino
- M. O. Ulfarsson
- Luciano Alparone
Citations in the corpus
- A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods (2021, background): “The first solution is usually much more appreciated due to the possibility of compensating for the aliasing of the MS image through the fusion process [127].”
- A Critical Comparison Among Pansharpening Algorithms (2015, unknown): “In the former case, corresponding to either GLP or DWT, it is possible to compensate the aliasing of the MS image through the fusion process [58].”