13th IAPR Workshop on Pattern Recognition in Remote Sensing
In conjunction with 27th International Conference On Pattern Recognition (ICPR 2024). Please register on the ICPR website to participate.
Important Dates
- December 1-4, 2024 International Conference On Pattern Recognition (ICPR 2024)
August 12, 2024August 22, 2024 (Updated) - Workshop paper submission deadline- September 13, 2024 - Notification to authors
- September 24, 2024 - Camera ready deadline
Aims and scope
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
Submission guidelines
We follow the same submission instructions as the ICPR conference (single-blind review process). Please carefully read the instructions before submission.
Please follow the Springer LNCS format with maximum 15 pages (including references) for paper submission. To take care of reviewers’ comments, one more page is allowed (without any charge) during revised/camera ready submission. Moreover, authors may purchase up to 2 extra pages. Extra page charges must be paid at the time of registration.
Springer LNCS paper formatting instructions and templates for ICPR-2024 are available here DOC and Latex. For Supplementary materials, follow the above-mentioned instructions.
All papers should be submitted via CMT: https://cmt3.research.microsoft.com/PRRS2024 .
All accepted and presented papers in PRRS 2024 will be published in the ICPR 2024 Workshop proceedings as per ICPR guidelines.
Call for Paper
Invited Speakers
-
Prof. Biplab Banerjee is an Associate Professor specializing in Machine Learning and Visual Computing at the Centre of Studies in Resources Engineering (CSRE) and the Center of Machine Intelligence & Data Science (MInDS) at IIT Bombay, India. Previously he has been an Assistant Professor from June 2018 to March 2022. Additionally, Dr. Banerjee holds a position as an AI engineering advisor for AWL Inc. Japan. His earlier tenure includes an Assistant Professorship at the Dept. of Computer Science & Engineering, IIT Roorkee, India, from October 2016 to May 2018. Dr. Banerjee has an extensive international academic presence, with visiting professor tenures at TU Munich, Germany, Ghent University, Belgium, and Kyungpook National University, South Korea. His research focuses on various aspects of deep learning in image and video analysis, including learning under limited supervision, multi-task learning, vision-language models, domain adaptation and generalization, lifelong learning across domains, and multi-modal learning in vision. He received the prestigious Young Investigator’s Award from IIT Bombay in 2021. Dr. Banerjee is also a Senior Member of IEEE.
-
B. S. Daya Sagar is a Professor (Higher Administrative Grade) of the Systems Science and Informatics Unit (SSIU) at the Indian Statistical Institute, and Head of the Indian Statistical Institute - Bangalore Centre. Earlier, he worked in the College of Engineering, Andhra University, and Centre for Remote Imaging Sensing and Processing (CRISP), The National University. of Singapore in various positions during 1992-2001. He served as Associate Professor and Researcher in the Faculty of Engineering & Technology (FET), Multimedia University, Malaysia, during 2001-2007. He has published over 95 papers in journals and has authored and/or guest-edited 14 books and/or special theme issues for journals. His recent book “Handbook of Mathematical Geosciences”, Springer Publishers, p. 942, 2018 reached one million downloads. He was elected as a member of New York Academy of Sciences in 1995, as a Fellow of Royal Geographical Society in 2000, as a Senior Member of IEEE Geoscience and Remote Sensing Society in 2003, as a Fellow of the Indian Geophysical Union in 2011, as a Fellow of the Indian Academy of Sciences (2022) and the Indian National Science Academy (2024). He delivered the Curzon; Co- Seshachalam Lecture - 2009 at Sarada Ranganathan Endowment Lectures (SRELS), Bangalore, and the Frank Harary Endowment Lecture - 2019; at International Conference on Discrete Mathematics - 2019 (ICDM-2019). He was awarded the Dr. Balakrishna Memorial Award; of the Andhra Pradesh Academy of Sciences in 1995, the Krishnan Medal of the Indian Geophysical Union in 2002, the Georges Matheron Award - 2011 with Lectureship; of the IAMG, and the Award of IAMG Certificate of Appreciation - 2018.
Programme Committee
We thank all reviewers for evaluating the submissions.
- Marc Chaumont (LIRMM (Montpellier), UNimes)
- John Kerekes (Rochester Institute of Technology)
- Jan Dirk Wegner (University of Zurich)
- Paolo Gamba (University of Pavia)
- Nicolas Audebert (IGN)
- Martin Weinmann (Karlsruhe Institute of Technology)
- Franz Rottensteiner (Leibniz Universitat Hannover, Germany)
- Eckart Michaelsen (Fraunhofer-IOSB)
- Loic Landrieu (ENPC)
- Selim Aksoy (Bilkent University)
- Michele Volpi (Swiss Data Science Center, ETH Zurich)
- Diego Marcos (Inria)
- Jocelyn Chanussot (Grenoble Institute of Technology)
- Fabio Dell’Acqua (University of Pavia)
- Camille Kurtz (Université Paris Cité)
- Dino Ienco (INRAE)
- Florence Tupin (Telecom Paris)
- Ananya Gupta (Google)
Organizers
On-site
Remote