A Real-Time Aerial Semantic Segmentation System Based on U-Net Deep Learning Using Drone Images

Muhammet Tahir Güneşer; Chihat Şeker; Mohammed Ayad Alkhafaji

doi:10.1007/978-981-97-8160-7_27

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A Real-Time Aerial Semantic Segmentation System Based on U-Net Deep Learning Using Drone Images

Muhammet Tahir Güneşer Chihat Şeker Mohammed Ayad Alkhafaji

Year: 2025 Lecture notes in networks and systems Pages: 349-362 Publisher: Springer International Publishing

DOI: 10.1007/978-981-97-8160-7_27

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Keywords:

Drone Artificial intelligence Segmentation Net (polyhedron) Computer science Deep learning Aerial image Computer vision Image (mathematics) Mathematics Biology

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Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

A Real-Time Aerial Semantic Segmentation System Based on U-Net Deep Learning Using Drone Images

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