Road extraction through Yangwang-1 nighttime light data: A case study in Wenzhou, China.

ABSTRACT: The extraction of roadways from remote sensing imagery constitutes a pivotal task, with far-reaching implications across diverse domains such as urban planning, management of transportation systems, emergency response initiatives, and environmental monitoring endeavors. Satellite images captured during daytime have customarily served as the primary resource for this extraction process. However, the emergence of Nighttime Light (NTL) remote sensing data introduces an innovative dimension to this arena. The exploration of NTL data for road extraction remains in its nascent stage, and this study seeks to bridge this gap. We present a refined U-Net model (CA U-Net) integrated with Cross-Attention Mechanisms, meticulously designed to extract roads from Yangwang-1 NTL images. This model incorpor

SUBMITTER: Zhu A 

PROVIDER: S-EPMC10798492 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature