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Automated Road and Building Extraction

TopicLeading institutions, researchers & key papers

Automated Road and Building Extraction is a topic indexed in PICO Portal from OpenAlex.

What is known about Automated Road and Building Extraction?

PICO Portalrecord 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?

PICO Portalindexed works

Automated Road and Building Extraction has 24 works in the PICO Portal 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?

PICO Portalopenalex

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?

PICO Portalmost cited works
Semiautomatic Road Extraction Framework Based on Shape Features and LS-SVM from High-Resolution Images
Pramod Kumar Soni, Navin Rajpal, Rajesh Mehta
Journal of the Indian Society of Remote Sensing. 202032 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?

PICO Portalvenues & funding sources

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?

PICO Portalopen access share
0%OPEN ACCESS
Gold
0%
Green
0%
Hybrid
0%
Bronze
0%
Closed
100%

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