Segmentation Is Not the End of Road Extraction: An All-Visible Denoising Autoencoder for Connected and Smooth Road Reconstruction

With a plethora of remote sensing (RS) images, deep neural network-based semantic segmentation model (SegModel) achieves commendable road extraction performance. However, the occlusions caused by vehicles, roadside objects, and shadows cannot be directly identified as road pixels, especially on high...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing Jg. 61; S. 1 - 18
Hauptverfasser:	Han, Lingyi, Hou, Lu, Zheng, Xiangxiang, Ding, Ziyue, Yang, Haojun, Zheng, Kan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023
Schlagworte:	Artificial neural networks Benchmarks Coders Connectivity Corruption Image processing Image reconstruction Image resolution Image segmentation Labels Neural networks Noise reduction Remote sensing Roads & highways Roadsides Semantic segmentation Smoothness Topology
ISSN:	0196-2892, 1558-0644
Online-Zugang:	Volltext
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