Road Extraction by Using Atrous Spatial Pyramid Pooling Integrated Encoder-Decoder Network and Structural Similarity Loss

• Published in: Remote sensing (Basel, Switzerland) Vol. 11; no. 9; p. 1015
• Main Authors: He, Hao, Yang, Dongfang, Wang, Shicheng, Wang, Shuyang, Li, Yongfei
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2019
• Subjects: Architectural engineering; Coders; Datasets; Deep learning; Encoders-Decoders; Engineering; Feature extraction; Image processing; Image quality; Image segmentation; Machine learning; Methods; Neural networks; Pattern recognition; Quality; Remote sensing; road extraction; Roads & highways; semantic segmentation; Semantics; Similarity; structural similarity; Traffic management; Traffic planning; Urban planning; United States > US; Massachusetts; China

The technology used for road extraction from remote sensing images plays an important role in urban planning, traffic management, navigation, and other geographic applications. Although deep learning methods have greatly enhanced the development of road extractions in recent years, this technology i...