Super-resolving multiresolution images with band-independant geometry of multispectral pixels
September 26, 2016 Β· Declared Dead Β· π IEEE Transactions on Geoscience and Remote Sensing
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Authors
Nicolas Brodu
arXiv ID
1609.07986
Category
cs.CV: Computer Vision
Citations
117
Venue
IEEE Transactions on Geoscience and Remote Sensing
Last Checked
4 months ago
Abstract
A new resolution enhancement method is presented for multispectral and multi-resolution images, such as these provided by the Sentinel-2 satellites. Starting from the highest resolution bands, band-dependent information (reflectance) is separated from information that is common to all bands (geometry of scene elements). This model is then applied to unmix low-resolution bands, preserving their reflectance, while propagating band-independent information to preserve the sub-pixel details. A reference implementation is provided, with an application example for super-resolving Sentinel-2 data.
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