Apply now
Postgraduate DiplomaDefense, Military Engineering & Land Systems Applications open

Diploma in ISR Multi-Sensor Fusion

Online postgraduate diploma of 800 hours in ISR multi-sensor fusion. 8 modules covering ISR sensors, data fusion fundamentals, target tracking, image fusion, AI for multimodal fusion, interoperable architectures and the ethics of surveillance, with an assigned technical tutor.

Duration6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
Enrol now View syllabus Ask an advisor
Virtual lab · try it before you enrol

Take the controls.

Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Understand ISR sensors and their characteristics.

02

Apply the fundamentals of data fusion.

03

Implement multi-target tracking algorithms.

04

Fuse imagery from different sensors.

05

Apply artificial intelligence to multimodal fusion.

06

Design interoperable ISR data architectures.

07

Evaluate performance and the ethical aspects of surveillance.

Profile

Who it's for

  • Data fusion engineers.
  • Imagery analysts.
  • Target tracking engineers.
  • Geospatial data scientists.
  • Maritime surveillance specialists.
  • Computer vision researchers.
  • Engineering or science graduates seeking to enter the defence sector.
Standards & tools

What you'll work with

  • STANAG 4559 (ISR product library interface)
  • STANAG 4609 (digital motion imagery)
  • STANAG 4607 (GMTI data format)
  • MIL-STD-2500C (NITF format)
  • AJP-2.7 (allied JISR doctrine)
  • Regulation (EU) 2016/679 (General Data Protection Regulation)
  • Stone Soup
  • MATLAB Sensor Fusion and Tracking Toolbox
  • ESA SNAP
  • PyTorch
  • QGIS
Syllabus

8 modules

  1. 1.1Electro-optical and infrared sensors
  2. 1.2Synthetic aperture radar
  3. 1.3Ground moving target indicator (GMTI)
  4. 1.4Signals sensors
  5. 1.5Acoustic and seismic sensors
  6. 1.6Hyperspectral sensors
  7. 1.7Airborne, space and ground platforms
  8. 1.8Characteristics and limitations
  9. 1.9The intelligence cycle
  10. 1.10Case study: sensor selection for maritime surveillance
  1. 2.1JDL fusion model
  2. 2.2Fusion levels
  3. 2.3Data-, feature- and decision-level fusion
  4. 2.4Centralised and distributed architectures
  5. 2.5Temporal and spatial registration
  6. 2.6Sensor alignment
  7. 2.7Uncertainty management
  8. 2.8Dempster-Shafer theory
  9. 2.9Bayesian inference
  10. 2.10Workshop: Bayesian fusion of two detections
  1. 3.1Kalman filter
  2. 3.2Extended and unscented Kalman filters
  3. 3.3Particle filters
  4. 3.4Motion models
  5. 3.5IMM filter
  6. 3.6Data association: GNN and JPDA
  7. 3.7Multiple hypothesis tracking
  8. 3.8PHD random finite set filters
  9. 3.9OSPA metrics
  10. 3.10Lab: multi-target tracking with Stone Soup
  1. 4.1Image registration
  2. 4.2Panchromatic and multispectral fusion
  3. 4.3Visible-infrared fusion
  4. 4.4SAR-optical fusion
  5. 4.5Pyramid and wavelet methods
  6. 4.6Deep learning fusion
  7. 4.7Quality metrics
  8. 4.8Video processing
  9. 4.9Georeferencing
  10. 4.10Practical exercise: SAR-optical fusion with Sentinel imagery
  1. 5.1Object detection with deep networks
  2. 5.2Multimodal classification
  3. 5.3Attention networks and transformers
  4. 5.4Few-shot learning
  5. 5.5Synthetic data
  6. 5.6Late and early fusion
  7. 5.7Uncertainty in deep models
  8. 5.8Explainability
  9. 5.9Edge deployment
  10. 5.10Lab: multimodal detector in PyTorch
  1. 6.1Common operational picture
  2. 6.2STANAG 4559 and 4609 standards
  3. 6.3NITF format
  4. 6.4NATO JISR architecture
  5. 6.5Metadata management
  6. 6.6Networks and bandwidth
  7. 6.7Cloud processing
  8. 6.8Cybersecurity of ISR data
  9. 6.9Allied interoperability
  10. 6.10Case study: JISR data flow
  1. 7.1Performance evaluation
  2. 7.2Test beds and public datasets
  3. 7.3Civil maritime surveillance
  4. 7.4Emergency management
  5. 7.5Border control and rights
  6. 7.6Privacy and data protection
  7. 7.7Legal oversight of ISR
  8. 7.8Bias and identification errors
  9. 7.9Analyst responsibility
  10. 7.10Case study: satellite monitoring of illegal fishing
  1. 8.1Scenario definition
  2. 8.2Sensor selection
  3. 8.3Fusion architecture
  4. 8.4Tracking algorithm
  5. 8.5Image fusion
  6. 8.6Performance evaluation
  7. 8.7Ethical and legal analysis
  8. 8.8Conclusions
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

A 100% online programme on the SEIUM campus, with downloadable materials, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so the programme fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Stone Soup, MATLAB Sensor Fusion and Tracking Toolbox, ESA SNAP, PyTorch and QGIS, in free, academic or evaluation versions. Tests are studied on real cases of multi-target tracking with simulated data, fusion of SAR and optical imagery and evaluation of multimodal detectors. Assessment is continuous by module plus the final integrating project.

Standards covered: STANAG 4559, STANAG 4609, STANAG 4607, MIL-STD-2500C, AJP-2.7, Regulation (EU) 2016/679.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of STANAG 4559, STANAG 4609 and STANAG 4607 applied to real cases, not as a theoretical annex.
Industry software:Stone Soup, MATLAB Sensor Fusion and Tracking Toolbox, ESA SNAP, PyTorch and QGIS, in free, academic or evaluation versions.
Final project:a multi-sensor fusion project for an ISR scenario, from sensor selection to performance evaluation, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Define the scenario
Define the ISR scenario and select the sensors.
Design the fusion architecture
Design the fusion architecture and data flow.
Implement tracking
Implement the multi-target tracking algorithm.
Fuse and evaluate
Fuse imagery and evaluate the performance of the solution.
Final project
Present the project with its ethical and legal analysis, reviewed by your tutor.
Career opportunities

Where this takes you

Data fusion engineerImagery analystTarget tracking engineerGeospatial data scientistMaritime surveillance specialistComputer vision researcher
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. A university degree is not required.
  • An internet connection and a computer capable of running the programme software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

Apply now Scholarships
FAQ

Frequently asked questions

The programme totals 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with Stone Soup, MATLAB Sensor Fusion and Tracking Toolbox, ESA SNAP, PyTorch and QGIS, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

Prior technical training or professional experience in the sector; no university degree is required.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

Keep exploring

Related programmes

See all in Defense, Military Engineering & Land Systems
Course1,000 $

Diploma in NATO/EU Data Security Standards

Online postgraduate diploma of 800 hours in NATO/EU data security standards. 8 modules covering NATO and EU security frameworks, information classification, personnel and industrial security, physical…

800 hours · 6–8 monthsOnlineDefense, Military Engineering & Land Systems
Postgraduate Diploma1,000 $

Diploma in 3D Modelling of Routes and Campaigns

Online postgraduate diploma of 800 hours in 3D modelling of routes and campaigns. 8 modules covering geospatial information, 3D data capture with photogrammetry and LiDAR, terrain…

6–8 monthsOnlineDefense, Military Engineering & Land Systems
Course1,440 $

Diploma in Nuclear Power Plant Modernisation Programmes

Online postgraduate diploma of 800 hours in nuclear power plant modernisation programmes. 8 modules covering long-term operation, ageing management, I&C modernisation, cybersecurity and human factors, obsolescence…

6–8 monthsOnlineDefense, Military Engineering & Land Systems
Diploma in ISR Multi-Sensor FusionEnrol
Related programmes

More in Defense, Military Engineering & Land Systems

Diploma in Anti-Jamming and Anti-Spoofing StrategiesView programme →Diploma in Radar and Optical Signature ControlView programme →Diploma in Structural Materials for Combat AviationView programme →Diploma in Chemical Compatibility of Materials and CoolantsView programme →Diploma in Radar and LO Signature ManagementView programme →Diploma in NRC/US DOE Licensing ProcessesView programme →

All Defense, Military Engineering & Land Systems programmes → · How to apply · Fees & financing · Scholarships

Scroll to Top
SEIUM – Institute of Advanced Engineering
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.