ScholarIQanswers from OpenAlex
Automated Road and Building Extraction
TopicLeading institutions, researchers & key papers
Automated Road and Building Extraction is a topic indexed in ScholarIQ from OpenAlex.
What is known about Automated Road and Building Extraction?
ScholarIQrecord summary
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.
How many works does Automated Road and Building Extraction have?
ScholarIQindexed works
Automated Road and Building Extraction has 24 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Automated Road and Building Extraction?
ScholarIQopenalex
The OpenAlex for Automated Road and Building Extraction is on the source record.
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
Road Extraction from High-Resolution Remotely Sensed Image Based on Improved Ant Colony Optimization Method
Yangping Wang, Chengwei Tang, Jingyu Yang, Linjing Wei
Target Detection Based on Cascade Network and Densely Connected Network in Remote Sensing Image
Jihao Wang, Yangping Wang, Jianwu Dang, Linjing Wei
Where is Automated Road and Building Extraction research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
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