Aerial Video Semantic Segmentation

Aerial Video Semantic Segmentation is an important branch of computer vision that focuses on pixel-level classification of videos captured by aerial platforms such as drones. Its goal is to accurately identify and label each pixel in the video with its corresponding semantic category, such as buildings, roads, vegetation, etc. This technology has significant application value in areas like urban planning, environmental monitoring, and disaster assessment, providing high-precision spatial information and dynamic change analysis.