We are looking for a motivated Image Processing Intern to join our
data processing and algorithm development team. The role involves helping
develop pipelines that convert raw satellite optical data (L0) into L1C and L2A
products. The intern will learn how satellite optical imaging systems work and
apply this knowledge to processing, noise reduction, and sensor simulation.
1. Optical Processing Pipeline
Development:
○ Help develop and test
algorithms that convert raw satellite optical data (L0) into calibrated and
georeferenced L1C and L2A products.
○ Work on key processing steps
such as radiometric and geometric correction, geolocation, orthorectification,
and atmospheric correction.
○ Write modular, testable, and
efficient code for operational pipelines.
2. Satellite Optical Imaging
Systems:
○ Learn how satellite optical
imaging systems form images, including the role of optics, detectors,
electronics, viewing geometry, and platform motion.
○ Use this understanding to
support calibration, correction, reconstruction, and product-generation
algorithms.
3. Noise Modelling and
Mitigation:
○ Study and model common sensor
noise, detector variations, defective pixels, quantisation effects, and imaging
artefacts.
○ Develop and test methods to
reduce these effects while preserving image quality.
4. Sensor and Imaging
Simulation:
○ Build simple, physics-based
simulators for image formation, sensor response, sampling, geometry, and noise.
○ Use simulated and real data to
test algorithms and study the effect of sensor parameters.
5. Validation, Collaboration,
and Documentation:
○ Define and use basic metrics to
evaluate radiometric quality, geometric accuracy, noise, and product
consistency.
○ Collaborate with the Software,
Remote Sensing, Payload, and Systems teams to integrate algorithms.
○ Clearly document code, methods,
assumptions, experiments, and results.
Requirements
Benefits
Skills Required
- Pursuing a Bachelor's or Master's degree in Computer Science, Electrical or Electronics Engineering, Aerospace Engineering, Remote Sensing, Physics, or a related field.
- Foundations in image processing, computer vision, signal processing, and mathematics.
- Proficiency in Python and C++.
- Familiarity with NumPy, SciPy, OpenCV, Rasterio, or GDAL.
- Basic understanding of optical imaging, sensors, radiometry, sampling, noise, and calibration.
- Familiarity with satellite data products, coordinate systems, geometric transformations, geolocation, or atmospheric correction.
- Exposure to sensor simulation, scientific programming, or geospatial datasets.
- Coursework or experience in remote sensing, optimisation, TensorFlow, or PyTorch.
What We Do
GalaxEye is an Indian space-tech startup developing advanced Earth-observation technologies. Its flagship Drishti Mission uses a multisensor imaging satellite combining optical and Synthetic Aperture Radar data to produce high-resolution imagery, including through cloud cover and at night. The company applies artificial intelligence, computer vision, and geospatial analysis to support governments, defense organizations, and industries with actionable insights.
