CALL FOR PAPERS

* Special Issue on Computer Vision and Deep Learning for Remote Sensing Applications *

Journal: Remote Sensing (MDPI), IF 4.118

Guest Editors: Hyungtae Lee, Sungmin Eum, Claudio Piciarelli

Full info: http://mdpi.com/si/46402

Deadline: accepted papers will be published continuously (as soon as accepted) till the deadline (31 March 2021)

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Abstract:

Today, the field of computer vision and deep learning is rapidly progressing into many applications, including remote sensing, due to its remarkable performance. Especially for remote sensing, a myriad of challenges due to difficult data acquisition and annotation have not been fully solved yet. The remote sensing community is waiting for a breakthrough to address these challenges by utilizing high-performance deep learning-based models that typically require large-scale annotated datasets.

This issue is looking for such breakthroughs focusing on the advances in remote sensing using computer vision, deep learning and artificial intelligence. Although broad in scope, contributions with a specific focus are expected.

For this special issue, we welcome the most recent advancements related, but not limited to:

* Deep learning architecture for remote sensing

* Machine learning for remote sensing

* Computer vision method for remote sensing

* Classification / Detection / Regression

* Unsupervised feature learning for remote sensing

* Domain adaptation and transfer learning with computer vision and deep learning for remote sensing

* Anomaly/novelty detection for remote sensing

* New dataset and task for remote sensing

* Remote sensing data analysis

* New remote sensing application

* Synthetic remote sensing data generation

* Real-time remote sensing

* Deep learning-based image registration

Dr. Hyungtae Lee

Dr. Sungmin Eum

Dr. Claudio Piciarelli

Guest Editors