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
20192023
Alexis Deleu
- Remote Sensing
Person
Olga Lopera Tellez
- Remote Sensing
Person
20052024

2 Active
13 Finished

DAP/22-15: Artificial Intelligence-based threat assessment for C-UGS
Neyt, X. (Promotor), Boeckx, K. (Researcher) & Vanvolsem, P. (Researcher)
1/07/22 → 30/06/26
Project: Research
DAP/21-11: Automatic, small-scale sea-floor characterization from high-resolution sonar data
Lopera Tellez, O. (Promotor), Neyt, X. (Promotor) & Arhant, Y. (Researcher)
1/09/21 → 31/08/25
Project: Research
Drifting Mines: Drifting Mines
Lopera Tellez, O. (Promotor), Ouendo, P.-E. (Researcher) & Hamesse, C. (Researcher)
1/09/23 → 30/11/24
Project: Research

98 Conference contribution
43 Article
13 Editorial
11 Conference article
More

D4SC: Deep Supervised Semantic Segmentation for Seabed Characterization and Uncertainty Estimation for Large Scale Mapping
Arhant, Y., Tellez, O. L., Neyt, X. & Pizurica, A., 2024, (Accepted/In press) In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
Research output: Contribution to journal › Article › peer-review

Open Access
RECOVERING FROM CATASTROPHIC RECEPTIVE FIELD OVERFLOW IN SEMANTIC SEGMENTATION OF HIGH RESOLUTION IMAGES: APPLICATION TO SEABED CHARACTERIZATION
Arhant, Y., Tellez, O. L., Neyt, X. & Pižurica, A., 2024, p. 9561-9565. 5 p.
Research output: UNPUBLISHED contribution to conference › Paper › peer-review
Recovering from Catastrophic Receptive Field Overflow in Semantic Segmentation of High Resolution Images: Application to Seabed Characterization
Arhant, Y., Tellez, O. L., Neyt, X. & Pižurica, A., 5 Sept 2024, IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers Inc., p. 9561-9565 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Review Specs C-UAV System for MOB
Neyt, X. (Subject Matter Expert) & Vandewal, M. (Subject Matter Expert)
1 May 2023 → 31 Jul 2023
Activity: Expertise / Valorisation › Expertise
SET Fall PBM
Neyt, X. (Belgian Voting Panel Member)
2023
Activity: Other › Participation to a NATO STO Panel Business Meeting
Acoustic scattering modeling from targets on and within the seafloor for classification tasks
Hurtado Erasso, C. A. (Poster presenter), Lopera Tellez, O. (Co-author), Neyt, X. (Co-author) & Lambot, S. (Co-author)
28 May 2024
Activity: Talk or presentation › Scientific poster presentation

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
NATO STO SCI Panel Excellence Award
Neyt, X. (Recipient), 22 May 2023
Prize: NATO STO Awards › STO Excellence Award (Team)

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
En Ukraine, les satellites privés jouent aux espions et aux soldats
Neyt, X.
9/10/22
1 Media contribution
Press/Media
Crédibles les menaces russes sur les satellites occidentaux ?
Neyt, X.
9/10/22
1 Media contribution
Press/Media

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

File
Investigation of the potential beneficial effect of an improved psychophysiological self-regulation by using biofeedback training methods to enhance performance in pilot training
Dessy, E. (Author), Pattyn, N. (Supervisor) & Neyt, X. (Supervisor), 27 Jun 2019
Student thesis: Doctoral Thesis
Opportunistic radar imaging using a multichannel receiver
Kubica, V. (Author), Neyt, X. (Supervisor) & Griffiths, H. (Supervisor), Apr 2016
Student thesis: Doctoral Thesis

File

Remote Sensing

Organisation profile

Organisation profile

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Collaborations and top research areas from the last five years

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Prof. Koen Boeckx

Alexis Deleu

Olga Lopera Tellez

DAP/22-15: Artificial Intelligence-based threat assessment for C-UGS

DAP/21-11: Automatic, small-scale sea-floor characterization from high-resolution sonar data

Drifting Mines: Drifting Mines

D4SC: Deep Supervised Semantic Segmentation for Seabed Characterization and Uncertainty Estimation for Large Scale Mapping

RECOVERING FROM CATASTROPHIC RECEPTIVE FIELD OVERFLOW IN SEMANTIC SEGMENTATION OF HIGH RESOLUTION IMAGES: APPLICATION TO SEABED CHARACTERIZATION

Recovering from Catastrophic Receptive Field Overflow in Semantic Segmentation of High Resolution Images: Application to Seabed Characterization

Review Specs C-UAV System for MOB

SET Fall PBM

Acoustic scattering modeling from targets on and within the seafloor for classification tasks

Best Poster Award

Charles Frerichs Award (ULB)

NATO STO SCI Panel Excellence Award

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

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

Crédibles les menaces russes sur les satellites occidentaux ?

Space-time adaptive processing for multistatic radars

Investigation of the potential beneficial effect of an improved psychophysiological self-regulation by using biofeedback training methods to enhance performance in pilot training

Opportunistic radar imaging using a multichannel receiver

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