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Automated Road and Building Extraction
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the automatic extraction of road networks from remote sensing images, utilizing techniques such as deep learning, high-resolution imagery, and GPS traces. The research covers areas such as GIS update, aerial images, urban road networks, and map inference, with a particular emphasis on the application of these methods to road extraction.
24
Works
IDs:OpenAlex
How has Automated Road and Building Extraction's publication output changed over time?
ScholarIQpublication output · 2018–2020
Output declined50% over the shown period — from 2 works in 2018 to 1 in 2020.
2
1
20182020
What are the most-cited papers on Automated Road and Building Extraction?
ScholarIQmost cited works
Semiautomatic Road Extraction Framework Based on Shape Features and LS-SVM from High-Resolution Images
Pramod Kumar Soni, Navin Rajpal, Rajesh Mehta
S4210185013. 202032 Citations
Road Extraction from High-Resolution Remotely Sensed Image Based on Improved Ant Colony Optimization Method
Yangping Wang, Chengwei Tang, Jingyu Yang, Linjing Wei
20182 Citations
Target Detection Based on Cascade Network and Densely Connected Network in Remote Sensing Image
Jihao Wang, Yangping Wang, Jianwu Dang, Linjing Wei
20182 Citations
Where is Automated Road and Building Extraction research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
S421018501332
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Automated Road and Building Extraction is open access?
ScholarIQopen access share
0%OPEN ACCESS
Gold
0%
Green
0%
Hybrid
0%
Bronze
0%
Closed
100%
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