IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 2018
As it is very difficult and expensive to obtain class labels in real world, we integrate the proposed WCRN with AL to improve its generalization by using the most informative training samples.
Classification Of Hyperspectral Images
on Pavia University
CLASSIFICATION OF HYPERSPECTRAL IMAGES
HYPERSPECTRAL IMAGE CLASSIFICATION
REMOTE SENSING IMAGE CLASSIFICATION