A Review of Object Detection in Aerial Images by Deep Learning Approaches

Key Points

• Enhanced accuracy in object detection has been achieved using deep learning techniques in aerial images.
• Convolutional neural networks play a vital role in feature extraction for aerial imagery analysis.
• Various deep learning architectures have shown substantial promise, improving real-time processing capabilities.
• Significant implications for applications like urban planning, agriculture, and surveillance arise from these advancements.