PRRS 2022

In conjunction with 26th International Conference On Pattern Recognition (ICPR 2022)

Aims and scopes

As one of the flagship events of the International Association for Pattern Recognition, Pattern Recognition in Remote Sensing Workshop brings together researchers from both pattern recognition and remote sensing, with emphasis on the application of pattern recognition methods to remotely sensed data. The steady progress in the development of new remote sensing devices and remote sensing technology has led to ever-increasing data and new challenges. Thus, a need arises to apply the latest methods of machine learning and pattern recognition for automated analysis of this kind of data. This workshop will provide an ideal forum for spreading and exchanging the latest experiences of international researchers. 

Topics

Researchers are welcome to submit papers in the following areas or related topics: 

  • Semantic classification and parameter estimation from hyperspectral and multispectral images
  • Extraction, selection, learning, and reduction of features
  • Deep learning for Earth observation data
  • Clustering
  • Active and transfer learning
  • Multi-modal and multi-temporal analysis
  • Image analysis of SAR and airborne thermal data
  • Recognition of man-made objects from aerial and space platforms
  • Novel pattern recognition tasks in remote sensing applications 
  • Explainable and interpretable machine learning
  • Hybrid models (physics+machine learning)
  • Benchmark datasets
  • Technical reviews on related topics 

Important dates

Submission deadline: May 16, 2022 May 23, 2022
Notification to the authors: June 2, 2022 June 6, 2022
Camera ready : June 13, 2022
Workshop date: August 21, 2022

Submission

Prepare a 6-page paper (without reference) using the ICPR template and following ICPR guidelines.
Submit it to https://cmt3.research.microsoft.com/PRRS2022.

Programme

We are glad to announe our two keynote speakers:

  • Elif Sertel,  Professor at Geomatics Engineering Department of Istanbul Technical Universit. She will talk about: ” Earth Observation Data for Geospatial Artificial Intelligence”
  • Claudia Paris, Ass. Professor at University of Twente. She will talk about “The Big Earth Observation Data Labeling Challenge”

Sponsors