An Enhanced Loss Function for Semantic Road Segmentation in Remote Sensing Images-Reference-Cited by-同舟云学术

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An Enhanced Loss Function for Semantic Road Segmentation in Remote Sensing Images

Published:2024 Issue: Volume:12 Page:74218-74229
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nanni Loris¹^ORCID,Brahnam Sheryl²^ORCID,Loreggia Andrea³^ORCID

Affiliation:

1. Department of Information Engineering (DEI), University of Padova, Padua, Italy

2. Information Technology and Cybersecurity, Missouri State University, Springfield, MO, USA

3. Department of Information Engineering (DII), University of Brescia, Brescia, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10539125.pdf?arnumber=10539125

Reference71 articles.

1. DeepRoadNet: A deep residual based segmentation network for road map detection from remote aerial image

2. Unthule: An incremental graph construction process for robust road map extraction from aerial images;Bastani;arXiv:1802.03680,2018

3. RoadTracer: Automatic Extraction of Road Networks from Aerial Images

4. Beyond Road Extraction: A Dataset for Map Update using Aerial Images

5. Improved Road Connectivity by Joint Learning of Orientation and Segmentation

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