Active and Semisupervised Learning for the Classification of Remote Sensing Images
By Claudio Persello, Lorenzo Bruzzone. 2014
162 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Claudio Persello
- Devis Tuia
- Lorenzo Bruzzone
- Valerio Marsocci
- Simone Scardapane
- Mohammad Rostami
- Gabriella Csurka
- Dong Xu
In Computer Vision and Pattern Recognition
- Claudio Persello
- Devis Tuia
- Lorenzo Bruzzone
- Valerio Marsocci
- Simone Scardapane
- Jon Atli Benediktsson
- Gustau Camps-Valls
- Jocelyn Chanussot
In Media Technology
- Devis Tuia
- Claudio Persello
- Lorenzo Bruzzone
- Simone Scardapane
- Valerio Marsocci
- Francesca Bovolo
- Gustau Camps-Valls
- Jon Atli Benediktsson
Citations in the corpus
- Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation (2022, background): “Finally, several semisupervised approaches have been proposed [50], [51], [52], often along with new extensive datasets for effective pretraining [27], [28].”
- Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances (2016, background): “Y Different operational conditions that result in biased training samples are discussed in [26]”