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Image Processing

How Solar Storms Can Be Predicted With Computer Vision & Satellites

Table of Contents Can computer vision be used to predict solar storms? Yes, computer vision plays a growing role in analyzing data from satellites to identify features on the Sun's surface that might indicate an impending solar storm. These features can include sunspots, prominences, and flares. By analyzing the size, shape, and evolution of these…

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Geospatial AI Services for Disaster Response and Management

Table of Contents How can geospatial AI improve disaster response? Geospatial AI revolutionizes disaster response and management by: Enhanced Situational Awareness: AI analyzes data from satellites, drones, sensors, and social media in real-time, giving responders a comprehensive view of the disaster area. Resource Optimization: Geospatial AI identifies optimal evacuation routes, supply distribution centers, and safe shelter locations.…

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Geospatial AI Services: Monitoring Environmental Changes and Climate Impact

Table of Contents What types of environmental changes can be monitored using geospatial AI? Geospatial AI provides powerful tools for monitoring a wide range of environmental changes: Deforestation: Detects changes in forest cover, identifies illegal logging, and analyzes the impact on biodiversity and carbon sinks. Land Use Change: Tracks urbanization, agricultural expansion, and wetland degradation, informing land…

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Precision Agriculture: Optimizing Crop Yields with Geospatial AI Services

Table of Contents How does geospatial AI specifically improve crop yields? Geospatial AI enhances crop yields in several fundamental ways: Targeted Interventions: AI analyzes field variability to tailor inputs (fertilizer, water, etc.) to specific crop needs, maximizing resource use. Early Problem Detection: AI identifies crop stress, disease or pest infestations early, enabling prompt and localized treatment.…

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Deep Learning Object Finder Model in Satellite Images

Bringing it On During DIUx xView 2018 Detection Challenge

Wovenware’s Data Science team has been working with state-of-the-art Convolutional Neural Networks (CNNs) for some time now as part of our deep learning and machine learning AI projects.  To share this experience with others in the industry, we recently participated in the DIUx xView 2018 Detection Challenge. The contest asked participants to bring their best…

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