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.
Important Dates
- May 5, 2026 - Submission deadline
- June 11, 2026 - Acceptance notification
- June 18, 2026 - Camera-ready deadline
- August 22, 2026 (morning) - PRRS 2026 workshop
- August 17-22, 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
Preliminary Schedule
| Time | Activity |
|---|---|
| 8:15 - 9:00 | Welcome & Keynote |
| 9:00 - 10:00 | Session 1 |
| 10:00 - 10:30 | Coffee |
| 10:30 - 11:50 | Session 2 |
| 11:50 - 12:00 | Closing |
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: TBD: CMT submission link
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