Remote Sensing

Organisation profile

The aim of the Remote Sensing research unit is to develop tools and methods for solving real world security and defence problems involving images, typically from airborne or spaceborne instruments. Activities range from the combined processing of radar images and optical images, to the extraction of battlefield situational awareness information using artificial intelligence.

Prof. Koen Boeckx
- Communication, Information, Systems and Sensors
- Remote Sensing
Person: PhD candidate
20192026
Alexis Deleu
- Remote Sensing
Person: PhD candidate
20242024
Denitsa Dimitrova
- Remote Sensing
Person
20242024

2 Not started
11 Active
15 Finished

B-THREAT: Behavioral Threat Assessment for Battlefield Environments
Neyt, X. (Promotor) & Vanvolsem, P. (Researcher)
1/07/26 → 30/06/30
Project: Research › DFR
CERMIL: Certification of software for use in military networks
Debatty, T. (Promotor) & Idrissa, M. (Researcher)
1/01/26 → 31/12/29
Project: Research › INNO
PARSEC: Passive AI-powered Real-time hemi-Spherical Edge-Computing
Neyt, X. (Promotor)
1/12/25 → 30/11/29
Project: Research › DEFRA

104 Conference contribution
44 Article
14 Conference article
11 Editorial
More

Integrating Potential-Based Reward Shaping into AlphaZero
Boeckx, K. & Neyt, X., 14 Jan 2026, (Accepted/In press) ESANN 2026 - Proceedings: 34th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning First Edition. ESANN, Vol. 1.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
File
2 Downloads (Pure)
Adaptive Inert Gas Exchange Model for Improved Hypobaric Decompression Sickness Risk Estimation
De Ridder, S., Neyt, X. & Germonpré, P., 2025, In: Aerospace Medicine and Human Performance. 96, 2, p. 85-92 8 p.
Research output: Contribution to journal › Article › peer-review
ADDRESSING SEABED CHARACTERIZATION AS FUZZY DEEP LEARNING SEGMENTATION TO MITIGATE AMBIGUOUS SYNTHETIC APERTURE SONAR DATA
Arhant, Y., Tellez, O. L., Neyt, X. & Pižurica, A., 2025, In: International Geoscience and Remote Sensing Symposium (IGARSS) . p. 6021-6025 5 p.
Research output: Contribution to journal › Conference article › peer-review

Open Access

Sentinel data fusion for automated monitoring of development and re-development sites using the PELT approach: a case study in Northern Italy
Stasolla, M. (Second reader)
Sept 2020 → 20 Dec 2021
Activity: Examination and mentoring › Mentoring Master Thesis
NATO STO Summer School (NS3) on Sensing Technologies
Bressers, J. (Participant)
8 Jul 2024 → 12 Jul 2024
Activity: Participating in or organising an event (conference, measurement campaign, ...) › Participation to a Summer School
NATO STO IST-SET-ET-133 Research Challenges for Contemporary Drone Operations
Capaldo, L. (Participant) & Mimassi, J. (Participant)
19 Jun 2025 → 19 Jun 2026
Activity: Other › Participation to a NATO STO RTG/ET

Best Paper Award BDAA 2025
Boeckx, K. (Recipient) & Neyt, X. (Recipient), 27 Nov 2025
Prize: Scientific award › Best paper award (conference proceedings)

File
Best Poster Award
Kubica, V. (Recipient) & Neyt, X. (Co-author), 1 Feb 2017
Prize: Scientific award › Best poster award
Charles Frerichs Award (ULB)
Neyt, X. (Recipient), 15 Jul 1994
Prize

Guerre en Ukraine: le réseau Starlink d'Elon Musk est-il utilisé par les Russes?
Neyt, X.
16/02/24
1 Media contribution
Press/Media
Crédibles les menaces russes sur les satellites occidentaux ?
Neyt, X.
9/10/22
1 Media contribution
Press/Media
En Ukraine, les satellites privés jouent aux espions et aux soldats
Neyt, X.
9/10/22
1 Media contribution
Press/Media

Opportunistic radar imaging using a multichannel receiver
Kubica, V. (Author), Neyt, X. (Supervisor) & Griffiths, H. (Supervisor), Apr 2016
Student thesis: Doctoral Thesis

File
Space-time adaptive processing for multistatic radars
Neyt, X. (Author), Acheroy, M. (Supervisor) & Verly, J. G. (Supervisor), Jul 2008
Student thesis: Doctoral Thesis

File
An Integrated Detection and Identification Methodology Applied to Ground-Penetrating Radar Data for Humanitarian Demining Applications
Lopera Tellez, O. (Author), Acheroy, M. (Supervisor) & Macq, B. (Supervisor), Feb 2008
Student thesis: Doctoral Thesis

File

Remote Sensing

Organisation profile

Organisation profile

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Prof. Koen Boeckx

Alexis Deleu

Denitsa Dimitrova

B-THREAT: Behavioral Threat Assessment for Battlefield Environments

CERMIL: Certification of software for use in military networks

PARSEC: Passive AI-powered Real-time hemi-Spherical Edge-Computing

Integrating Potential-Based Reward Shaping into AlphaZero

Adaptive Inert Gas Exchange Model for Improved Hypobaric Decompression Sickness Risk Estimation

ADDRESSING SEABED CHARACTERIZATION AS FUZZY DEEP LEARNING SEGMENTATION TO MITIGATE AMBIGUOUS SYNTHETIC APERTURE SONAR DATA

Sentinel data fusion for automated monitoring of development and re-development sites using the PELT approach: a case study in Northern Italy

NATO STO Summer School (NS3) on Sensing Technologies

NATO STO IST-SET-ET-133 Research Challenges for Contemporary Drone Operations

Best Paper Award BDAA 2025

Best Poster Award

Charles Frerichs Award (ULB)

Guerre en Ukraine: le réseau Starlink d'Elon Musk est-il utilisé par les Russes?

Crédibles les menaces russes sur les satellites occidentaux ?

En Ukraine, les satellites privés jouent aux espions et aux soldats

Opportunistic radar imaging using a multichannel receiver

Space-time adaptive processing for multistatic radars

An Integrated Detection and Identification Methodology Applied to Ground-Penetrating Radar Data for Humanitarian Demining Applications

Remote Sensing

Organisation profile

Organisation profile

Fingerprint

Collaborations and top research areas from the last five years

Profiles

Projects

Research output

Activities

Prizes

Press/Media

Student theses