Achieving Information Super-resolution for Sentinel-2 NDVI Through Gaussian Process Regression
Chandrabali Karmakar, Ana Antunes, Mihai P. Datcu · IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium · 2022
Super-resolution is used to recover high resolution images from low resolution images. We use this concept in a slightly different context to achieve higher quality knowledge from low resolution satellite images. The technique involves transfer learning from high to low resolution images using a Gaussian Process Regression model. We use high resolution drone images to train the model. This technique is applied in three case studies to verify the consistency of results in case of NDVI computation. However, the same technique can be applied to obtain for other application of satellite images in plant vigor assessment.