2020
Weakly Supervised Semantic Segmentation For Remote Sensing Hyperspectral Imaging
ICASSP 2020accepted
This paper studies the problem of training a semantic segmentation neural network with weak annotations, in order to be applied in aerial vegetation images from Teide National Park. It proposes a Deep Seeded Region Growing system which consists on training a semantic segmentation network from a set…