
Image Analysis Specialist
23 hours ago
Transformative Role in Optical Sensor Image Analysis
Job Description:
The successful candidate will collaborate with esteemed experts in Earth Observation to develop and optimize image processing algorithms for real-time analysis.
This position involves close collaboration with ex-ISRO scientists and global space industry experts to create high-performance image processing pipelines.
The ideal candidate will work closely with data scientists, software engineers, and GIS specialists to design and implement efficient image processing workflows.
Key Responsibilities:
- Develop and optimize algorithms for key image processing stages, including radiometric correction, geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification.
- 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).
- Collaborate with the team to ensure high-quality image products through quality assurance practices.
Requirements:
- Expertise in image processing and computer vision.
- Proficiency in programming languages such as Python or C++.
- Strong understanding of spatial data structures and algorithms.
- Ability to communicate complex technical concepts effectively.
- Familiarity with deep learning frameworks and libraries.
- Experience working with satellite optical sensors and their applications.
Benefits:
The successful candidate will have opportunities to contribute to cutting-edge research and development, collaborate with a diverse team of experts, and participate in quality assurance practices to ensure high-quality image products.
Additional Information:
The ideal candidate will possess excellent problem-solving skills, be able to work independently, and demonstrate strong communication skills.
What We Offer:
Opportunities for professional growth and development, a collaborative work environment, and a chance to contribute to pioneering projects in Earth Observation.
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