Mission Types
Optical Payload Teams
The following missions illustrate typical engagement formats. Each mission can be fully tailored to match the client’s objectives, timeline, and technical context.
Imaging Performance Budget review & risk assessment
Phase A / B / C
Scope
- Independent review of imaging performance budgets (SNR, MTF, LoS...)
- Assessment of contributors (optics, detector, platform, operations)
- Identification of critical performance drivers and sensitivities
- Gap analysis versus mission requirements
See typical milestones & deliverables
Typical milestones
- Kick-off: Inputs/outputs confirmation, documentation delivery and scope alignment
- 1-3 days: Documentation review (CONOPS, system/payload specification, datasheets, studies...)
- 4-5 days: Review of performance budgets, hypothesis, models, coherence with imaging targets
- 4-5 days: Top performance drivers identification, parametric sensitivity analysis
- 1-2 days: Deliverables
Deliverables
- Performance budget review report
- Risk and sensitivity matrix
- Mitigation recommendations
Image simulation & acquisition modeling tools development
Phase A / B
Scope
- Development of image simulation tools (end-to-end or modular)
- Modeling of acquisition geometry, radiometry, motion and noise effects
- Support to imaging performance prediction and mission trade-off studies
- Adaptation and integration within customer internal toolchains
See typical milestones & deliverables
Typical milestones
- Kick-off: Definition of simulation objectives, scope, use cases and expected outputs
- 2-3 days: Review of mission & imaging requirements, acquisition scenarios and existing tools
- 4-6 days: Implementation of acquisition geometry, sampling and image formation models
- 2-4 days: Implementation of platform-related effects (LoS error, STR noise, guidance error)
- 4-6 days: Implementation of radiometric effects (MTF, SNR)
- 4-5 days: Validation on representative scenarios and comparison with analytical budgets or reference data
- 4-6 days: Documentation
Deliverables
- Image simulation python tools
- User documentation and modeling assumptions description
- Reference use cases and validation test cases
Calibration & Validation preparation and execution support
in-orbit
Scope
- Definition, review or refinement of Calibration & Validation (Cal/Val) strategy and success criteria
- Support to ground and in-orbit Cal/Val test planning, tasking and scheduling
- Analysis of calibration data and image quality performance monitoring
- Investigation of image quality anomalies and support to corrective actions
- Technical support to in-orbit commissioning and early operations phases
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Deliverables
- Cal/Val strategy review and support notes
- Image quality and calibration analysis reports
- Performance compliance and commissioning readiness assessment
Paylaod-Platform interface impact assessment
Phase A / B
Scope
- Assessment of platform contributors (thermal, pointing, stability)
- Impact analysis on optical and image quality performances
- Interface consistency checks between payload and platform
- Support to payload–platform trade-offs
See typical milestones & deliverables
Deliverables
- Platform impact analysis report
- Design recommendations
Independent technical oversight
All phases
Scope
- Independent technical expertise on a subject related to optical payload performance
- Support to design reviews and technical decision-making
- Early identification of performance risks
- Interface between system, payload and image quality teams
See typical milestones & deliverables
Deliverables
- Technical review notes