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Super-resolving multiresolution images with band-independant geometry of multispectral pixels
Nicolas Brodu

Super-resolving multiresolution images with band-independant geometry of multispectral pixels

Author / Organization:
Science & Mathematics Published 2017 Verification Pending

Overview & Synopsis

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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Document Information

Document Title Super-resolving multiresolution images with band-independant geometry of multispectral pixels
Author / Organization Nicolas Brodu
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2017
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-130684
Original Source Link Visit Source Page on hal.science »