Annotating satellite images: unlocking the full potential of geospatial AI

In the field of environmental and geospatial monitoring, the analysis of satellite images plays a major role in understanding and managing the land. However, in order to train artificial intelligence models that can automatically extract reliable information, it is essential to have precisely annotated data.

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The mission

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Develop a custom annotation process to detect and classify geospatial elements such as bodies of water, urban areas, or forests.

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To respond to this problem, Innovatiana has implemented a complete solution based on:

• The manual delineation and classification of objects of interest on high-resolution satellite images;
• The use of specialized annotation tools guaranteeing the quality, consistency and traceability of the data produced.

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The results

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• High-quality data sets perfectly suited to training AI models in satellite vision;
• A significant improvement in the accuracy of models in the detection of objects and the segmentation of natural and artificial elements;
• An acceleration of environmental research and analysis projects, thanks to a reliable and structured database.

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👉 Read the full study : Discover how the annotation of satellite images improves geospatial analysis by AI, by making the detection of changes more reliable, by refining the understanding of territories and by providing concrete answers to the challenges of the environment, urban planning and agriculture.