Deep Fusion of Spectral–Spatial Priors for Cropland Segmentation in Remote Sensing Images-Reference-Cited by-同舟云学术

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Deep Fusion of Spectral–Spatial Priors for Cropland Segmentation in Remote Sensing Images

Published:2022 Issue: Volume:19 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Luo Yuan¹,Huang Laifeng¹,Sun Bin¹^ORCID,Sun Wei²^ORCID,Li Shutao¹^ORCID

Affiliation:

1. School of Electrical and Information Engineering, Hunan University, Changsha, China

2. Chinese Academy of Agricultural Sciences, Agricultural Information Institute, Beijing, China

Funder

Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences

National Natural Science Fund of China

Project funded by the China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9651998/09828531.pdf?arnumber=9828531

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

2. A Multiscale Attention Segment Network-Based Semantic Segmentation Model for Landslide Remote Sensing Images;Remote Sensing;2024-05-11

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