Edge Detection With Direction Guided Postprocessing for Farmland Parcel Extraction-Reference-Cited by-同舟云学术

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Edge Detection With Direction Guided Postprocessing for Farmland Parcel Extraction

Published:2023 Issue: Volume:16 Page:3760-3770
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Xie Yusen¹^ORCID,Zheng Shaolan²,Wang Haiyun²,Qiu Yuzhou²,Lin Xilan²,Shi Qian¹^ORCID

Affiliation:

1. Guandong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-sen Univiersity, Guangzhou, China

2. Surveying and Mapping Institute Lands and Resource Department of Guangdong Province, Guangzhou, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10061546.pdf?arnumber=10061546

Reference61 articles.

1. A review of supervised object-based land-cover image classification

2. LinkNet: Exploiting encoder representations for efficient semantic segmentation

3. Object-Based Plastic-Mulched Landcover Extraction Using Integrated Sentinel-1 and Sentinel-2 Data

4. The Pascal Visual Object Classes Challenge: A Retrospective

5. Review of Deep Learning Algorithms and Architectures

Cited by 4 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

1. BAFormer: A Novel Boundary-Aware Compensation UNet-like Transformer for High-Resolution Cropland Extraction;Remote Sensing;2024-07-10

2. Deep learning in cropland field identification: A review;Computers and Electronics in Agriculture;2024-07

3. DSCA-PSPNet: Dynamic spatial-channel attention pyramid scene parsing network for sugarcane field segmentation in satellite imagery;Frontiers in Plant Science;2024-01-17

4. Yolosc-Sam: An Acceptable Extraction Method for Farmland Regions in Remote Sensing Images Using Sam;2024

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