Semantic segmentation

Semantic segmentation is a computer vision technique that assigns semantic labels to different regions of an image, achieving precise pixel-level understanding. In urban planning, semantic segmentation is widely used in green space monitoring, traffic management, and building surveillance. For example, it can analyze street view images to identify green coverage, provide real-time traffic condition analysis, or recognize and classify buildings, thereby offering accurate data support for urban environment analysis and management.

[Photo/Science Direct]

Source: <https://www.sciencedirect.com/science/article/pii/S0169204622002523#f0015>

Edited and Translated by Ma Chenshuo