14th IAPR Workshop on Pattern Recognition in Remote Sensing
In conjunction with 28th International Conference On Pattern Recognition (ICPR 2026) August 17-21 2026 in Lyon, France. Please register on the ICPR website to participate.
Location
Louis Néel Building (53 Av. Jean Capelle E, 69100 Villeurbanne, France), Room C12 (posters in room B8)
Important Dates
May 5May 12, 2026 (Anywhere on Earth) - Submission deadline- June 11, 2026 - Acceptance notification
- June 18, 2026 - Camera-ready deadline
- August 21, 2026 (afternoon) - PRRS 2026 workshop
- August 17-21, 2026 - International Conference On Pattern Recognition (ICPR 2026), Lyon, France
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
With the increase of availability of images and the importance of climate change, the Earth Observation and Remote Sensing fields have seen a growing interest. For instance, 50% of the EO satellites have been launched in the last 5 years. With this growing number of available data, a bottleneck in data representation and interpretation appeared. Many tasks of pattern recognition are therefore relevant to interpret remotely sensed data. During this day, we aim at covering the following topics:
- Deep learning for Earth observation data
- Foundation models for Earth observation data
- Vision and language models for Earth observation
- Semantic classification and parameter estimation from remote sensing data
- Active, interactive and transfer learning
- Multi-modal and multi-temporal analysis
- Extraction, selection, learning, and reduction of features
- Novel pattern recognition tasks in remote sensing applications
- Explainable and interpretable machine learning
- Hybrid models, combining physics and machine learning
- Benchmark models and datasets
Schedule
| Time | Activity |
|---|---|
| 13:30 - 13:35 | Welcome |
| 13:35 - 14:30 | Keynote: Florence Tupin |
| 14:30 - 15:10 | Session 1: Parameter Efficient Handling of Acquisition Artefacts - Paul Tresson Diffusion Transformers for Roof Graph Synthesis and Reconstruction - Daniel Panangian |
| 15:10 - 16:15 | Coffee and posters |
| 16:15 - 16:55 | Session 2: Biodiversity Profile Estimation with Earth Observation - Victor Boussange Ensemble Learning for Aerial LiDAR Point Cloud Semantic Segmentation: Exploring Model Complementarity and Combination Strategies - Alex Salvatierra |
| 16:55 - 17:00 | Closing |
Keynote: Florence Tupin
Title
Self-supervised strategies for radar imaging
Abstract :
Radar satellite images are valuable sources of information for Earth observation. They have the advantage of being acquired regardless of cloud cover and provide unique insights into the elevation or movement of features on the Earth’s surface. However, the acquisition process through coherent imaging leads to significant variability in measurements, making their analysis challenging. In this presentation, we will explore how deep learning, combined with acquisition physics, enables significant improvements in these images and contributes to numerous applications. In particular, we will discuss self-supervised strategies suited to this type of imaging.
Short bio
Florence Tupin is currently a Professor of image and signal processing at Telecom Paris, where she is also head of the Image, Data, and Signal Department. Her research focuses on image processing and analysis, particularly for remote sensing and synthetic aperture radar imaging applications, and Earth observation. She has been a member of several international and national technical conference committees since 2003. She has been co-chair of the GRETSI Technical Program Committee since 2024 and IEEE GRSS (Geoscience and Remote Sensing Society) Distinguished Lecturer since 2025. She has received several awards, including the IEEE GRSS Transactions Prize Paper Award in 2016, the IEEE GRSS Symposium Prize Paper Award in 2022 and the IEEE GRSS Letters Prize Paper Award in 2026 for her work on speckle filtering.
Instructions for Authors
Please use the ICPR 2026 author templates: https://icpr2026.org/authors.html
We mainly follow the submission instructions for the main conference (https://icpr2026.org/instructions.html), but there are some specific submission requirements:
- Paper length: minimum 6 pages, maximum 15 pages (including references) (extra pages are not authorized)
- No supplementary material
- The workshop follows a double-blind review process with at least 2 reviews per paper
Submission information
Submission Link: cmt3.research.microsoft.com/PRRS2026
The authors will need to have a CMT account before they try to submit their paper.
- Link to create the account: https://cmt3.research.microsoft.com/docs/help/general/account-creation.html
- How to submit a paper? https://cmt3.research.microsoft.com/docs/help/author/author-submission-form.html
Proceedings and Publishing
Workshop proceedings will be published in Springer LNCS as part of the ICPR 2026 workshop proceedings.
Publishing notes:
- Only full papers (more than 6 pages) are eligible for publication in the proceedings
- At least one presenting author must be registered for ICPR 2026
Organizers
IAPR Ethical Requirements for Authors
The IAPR requires that all authors wishing to present a paper declare that the paper is substantially original; that is, the manuscript as a whole, or for the most part, is novel, has not been published in (or even submitted to) any journals and has not been presented at any other conferences. If previous versions of the manuscript were published or presented, appropriate references must be given and substantial justification for presentation of the current version must be presented.
The IAPR strictly prohibits any plagiarism; that is, the work of others must not be “borrowed” and presented as the authors’ own work, regardless of the size of the borrowed portion.
The IAPR frowns upon “no-show behavior” at IAPR-related conferences and workshops, meaning that an author registers to make a presentation but does not show up for it. If such behavior is unavoidable due to urgent and unexpected personal matters, the author is strongly urged to notify the event organizer of the situation as soon as possible. If prior notification is impossible, the organizer should be advised after the fact of the reason for the author’s absence.
The IAPR retains the rights to eliminate any papers in violation of these Requirements and to take appropriate action against individuals repeatedly violating these Requirements and assumes no responsibility for any resulting loss of reputation or opportunity of such individuals or for any inconvenience related to the future work of such individuals.
CMT Acknowledgement
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
Contact
For any questions, please contact: iapr.tc7@gmail.com