Satellite Imagery Expert

Job Title: Lead Image Processing SpecialistWe are seeking a skilled professional to spearhead the development of a high-performance image processing pipeline for satellite optical sensors.The ideal candidate will lead a team in designing, developing, and implementing an efficient, scalable image processing pipeline from raw data ingestion to analysis-ready outputs.The selected specialist will oversee the development of robust preprocessing techniques to handle satellite imagery, apply cutting-edge techniques such as deep learning, object detection, and spectral analysis to extract meaningful insights from optical imagery, and ensure the pipeline is automated, efficient, and scalable to handle high-volume satellite data processing tasks.Pipeline Architecture & Development: Lead the design, development, and implementation of an efficient, scalable image processing pipeline for satellite optical sensor data.Algorithm Design: Develop and optimize algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification.Data Preprocessing: Oversee the development of robust preprocessing techniques to handle satellite imagery (noise reduction, calibration, sensor alignment, etc.) for optimal analysis accuracy.Advanced Image Analysis: Apply cutting-edge techniques such as deep learning, object detection, and spectral analysis to extract meaningful insights from optical imagery (e.g., DEM/DSM, change detection).Requirements:

• Master's degree in Remote Sensing, Geospatial Science, Electrical Engineering, Computer Science, or a related field.
• 8+ years of experience in satellite image processing, remote sensing, or related fields, focusing on optical sensor data.

Must-Have Skills:

• Experience designing and optimizing image processing pipelines for satellite imagery, particularly optical sensors (e.g., multispectral, hyperspectral).
• Proficiency in image processing and computer vision algorithms (e.g., image correction, enhancement, feature extraction).
• Expertise in programming skills like Python, C++, or MATLAB, with experience using image processing libraries (e.g., OpenCV, GDAL, scikit-image).

Nice-to-Have Skills:

• Expertise in atmospheric correction models and radiometric calibration techniques.
• Experience working with hyperspectral data and advanced spectral analysis techniques.

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