Remote Sensing and Big Data in Geoscience Remote sensing has moved from isolated images to the edge of a data flood. In geoscience, teams now watch Earth with many sensors: optical satellites, radar, LiDAR, and drone surveys. This mix creates big data that can track rain patterns, forest loss, soil moisture, and urban growth over both short and long periods. The result is a clearer picture of how places change, respond to climate, or face hazards. ...
3D Vision and Spatial Computing Trends 3D vision and spatial computing are moving from niche labs to everyday devices. In 2025, compact depth sensors, robust SLAM, and fast processors help machines understand space the way people do. AI accelerates perception tasks such as object recognition, pose tracking, and depth estimation, even when lighting is uneven or scenes are cluttered. The result is more responsive apps that blend digital information with our real world. You can see this in AR features on phones, smarter home robots, and design tools that map rooms in seconds. ...
Augmented Reality and Computer Vision Collaboration Augmented reality (AR) blends digital content with the real world. Computer vision (CV) provides the eyes and brain of that system, turning a camera stream into meaningful information. When they work together, AR overlays stay in place, objects are recognized, and tasks feel natural rather than magical. A typical real-time AR CV pipeline starts with the camera feed, then runs object or feature detection, estimates depth and camera pose, and finally renders virtual content that respects lighting and geometry. The speed and accuracy of each step shape the user experience, especially on mobile devices with limited power. ...