Mastering Satellite Imagery
1 week ago
This is a pivotal role that requires exceptional expertise in image processing and computer vision. As an Image Processing Scientist, you will be at the forefront of cutting-edge Earth Observation technology.
About the RoleWe are seeking a highly skilled professional to develop and optimize image processing pipelines for satellite optical sensor data. Your key responsibilities will include:
- Developing and Optimizing Image Processing Pipelines
- Design efficient pipelines for satellite optical sensor data, applying techniques like deep learning, object detection, and spectral analysis to extract meaningful insights from optical imagery.
- Implement cloud-based processing solutions for large-scale satellite data, ensuring automated, efficient, and scalable pipelines for high-volume tasks.
- Collaborate with cross-functional teams to integrate image processing into broader systems, participating in quality assurance practices for high-quality image products.
- Document pipeline architecture, algorithms, and development timelines.
To succeed in this role, you should possess:
- Bachelor's or Master's degree in Remote Sensing, Geospatial Science, Physics, Electrical Engineering, Computer Science, or a related field.
- 2-3 years of industrial experience in satellite/drone image processing focusing on optical sensor data.
The following skills would be advantageous:
- Proficiency in image processing and computer vision algorithms.
- Strong programming skills in Python, with experience using libraries like OpenCV, GDAL.
- Understanding of satellite optical sensors and their processing challenges.
- Experience with machine learning techniques for image analysis.
- Familiarity with geospatial data formats and tools (e.g., GeoTIFF, QGIS, ArcGIS).
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