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PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote Sensing Images [article]

Guangshuai Gao, Qingjie Liu, Zhenghui Hu, Lu Li, Qi Wen, Yunhong Wang
2022 arXiv   pre-print

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2021 pre-print arXiv:2012.03597v2 fatcat:6fdratcqobghhkmtfb6ihmyiuu

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2020 pre-print
arXiv:2012.03597v1 fatcat:clwf54lgzvgnzkpsxq72wwd2ti
To mitigate the above issues, this paper proposes a novel framework for dense object counting in remote sensing images, which incorporates a pyramidal scale module (PSM) and a global context module (GCM  ...  Object counting, which aims to count the accurate number of object instances in images, has been attracting more and more attention.  ...  In summary, the contributions of this work are three-fold: • A novel Pyramidal Scale and Global Context-based framework for dense object counting in remote sensing images, termed PSGCNet, is presented.  ... 
arXiv:2012.03597v3 fatcat:m5adcmcfgbcgpgq47wrwwvsapq
Open Access Multiple Versions
Citation

Guangshuai Gao, Qingjie Liu, Zhenghui Hu, Lu Li, Qi Wen, Yunhong Wang. "PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote Sensing Images." arXiv (2022)

Object Counting in Remote Sensing via Triple Attention and Scale-Aware Network

Xiangyu Guo, Marco Anisetti, Mingliang Gao, Gwanggil Jeon
2022 Remote Sensing  

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https://web.archive.org/web/20221221060908/https://mdpi-res.com/d_attachment/remotesensing/remotesensing-14-06363/article_deploy/remotesensing-14-06363.pdf?version=1671125915

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Object counting is a fundamental task in remote sensing analysis.  ...  Nevertheless, it has been barely studied compared with object counting in natural images due to the challenging factors, e.g., background clutter and scale variation.  ...  Many thanks to Abdellah Chehri in the Department of Mathematics and Computer Science at the Royal Military College of Canada for his help in proofreading and polishing the language.  ... 
doi:10.3390/rs14246363 fatcat:7la5dnrtvjeizded3lhfjrmirm
DOAJ Szczepanski
Citation

Xiangyu Guo, Marco Anisetti, Mingliang Gao, Gwanggil Jeon. "Object Counting in Remote Sensing via Triple Attention and Scale-Aware Network." Remote Sensing 14.24 (2022) 6363