Dense Refinement Residual Network for Road Extraction From Aerial Imagery Data-Reference-Cited by-同舟云学术

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Dense Refinement Residual Network for Road Extraction From Aerial Imagery Data

Published:2019 Issue: Volume:7 Page:151764-151782
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Eerapu Karuna Kumari^ORCID,Ashwath Balraj,Lal Shyam^ORCID,Dell'Acqua Fabio,Narasimha Dhan A. V.

Funder

Young Faculty Research Fellowship Award under the Visvesvaraya Ph.D. Scheme for Electronics and IT Government of India

Digital India Corporation

Ministry of Communication and Information Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08763955.pdf?arnumber=8763955

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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3. Classification and grade prediction of kidney cancer histological images using deep learning;Multimedia Tools and Applications;2024-02-28

4. RUW-Net: A Dual Codec Network for Road Extraction From Remote Sensing Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

5. Automated Road Extraction from Remotely Sensed Imagery using ConnectNet;Journal of the Indian Society of Remote Sensing;2023-09-08

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