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StereoMSI

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About this Collection

StereoMSI


Multi-spectral super-resolution dataset. The extended version includes - 272 training stereo registered multi-spectral RGB image pairs including the original RGB mosaic images. - 970 raw multi-spectral images. These need to be downsampled (x2 or x3 etc.) to create low-resolution images for training a CNN for the task of super-resolution. - 50 test ... more


Computer Vision Image Processing Knowledge Representation and Machine Learning


https://doi.org/10.25919/5d9bd506d3def


2017


2018


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CSIROEnquiries@csiro.au
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Super-resolution SR Multi-spectral RGB


:

PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study

Attribution

Shoeiby_PIRM2018_Challenge_on_Spectral_Image_Super-Resolution_Dataset_and_Study_ECCVW_2018_paper.pdf


03570154_wavelegnth_in_block


CSIRO Data Licence


CSIRO (Australia)


Shoeiby, Mehrdad (2019): StereoMSI. v1. CSIRO. Data Collection. https://doi.org/10.25919/5d9bd506d3def


All Rights (including copyright) CSIRO 2019.


The metadata and files (if any) are available to the public.

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About this Project

AIM FSP_TB07_WP05: Optical sensing for marine environments


Data analytics for marine environments


Janet Anstee





Mehrdad Shoeiby