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Software Engineering Practices for AI Enabled Remote Sensing

Year: 2026

Type: preprint

Abstract: This literature review examines the integration of artificial intelligence (AI), remote sensing, and software engineering in geospatial applications. It explores machine learning techniques for satellite imagery analysis, geospatial data processing, software development practices, model integration, reproducibility, and challenges affecting AI-enabled remote sensing systems. The review synthesizes existing academic literature to highlight current approaches, practical applications, limitations, and opportunities for future research. It aims to provide insights into how software engineering principles can support the development of reliable, scalable, and maintainable AI-powered remote sensing solutions.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.24059761

Author: Olasunkanmi, Daniel

Language: English

Topic: Software Engineering Techniques and Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7225573549

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