干旱区生态环境知识资源中心(Arid): Land Cover Segmentation Using 3-D FCN-Based Architecture With Coordinate Attention

Arid

DOI	10.1109/LGRS.2024.3399774
	Land Cover Segmentation Using 3-D FCN-Based Architecture With Coordinate Attention
	Buttar, Preetpal Kaur; Sachan, Manoj Kumar
通讯作者	Buttar, PK
来源期刊	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
ISSN	1545-598X
EISSN	1558-0571
出版年	2024
卷号	21
英文摘要	This letter presents a land cover segmentation approach by analyzing multispectral, multitemporal Sentinel-2 satellite images through deep-learning-based fully convolutional networks (FCNs). Existing segmentation methods face problems in generating accurate segmentation masks for satellite scenes with bright pixels and those containing cloud cover and incur a high computational cost. To tackle these problems, first, we generated cloud cover masks using a trained U-Net++-based architecture with ResNet-50 backbone and a lightweight attention mechanism to remove too cloudy satellite scenes as they hide the ground view. Second, to incorporate the benefits of attention mechanisms while keeping the computational cost low, a 3-D FCN-based satellite image segmentation architecture with lightweight coordinate attention (CA) mechanism is proposed for generating land cover segmentation masks. Third, a novel dataset comprising multitemporal, multispectral Sentinel-2 satellite images for the year 2020 along with their ground-truth mask was composed for the chosen study site which is a semi-arid region spanning over an area of 4978 km(2) of Ludhiana district located in the state of Punjab, India. Understanding the patterns of land use and land cover in the context of such agriculturally rich regions experiencing significant urban population increase and cropland loss makes this study crucial. Mean intersection over union (mIoU) and $F1$ scores of 92.13% and 96.76%, respectively, were achieved.
英文关键词	3-D fully convolutional network (FCN) land cover mapping remote sensing satellite imagery semantic segmentation Sentinel-2
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001231500300009
WOS关键词	NETWORK
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404136
推荐引用方式 GB/T 7714	Buttar, Preetpal Kaur,Sachan, Manoj Kumar. Land Cover Segmentation Using 3-D FCN-Based Architecture With Coordinate Attention[J],2024,21.
APA	Buttar, Preetpal Kaur,&Sachan, Manoj Kumar.(2024).Land Cover Segmentation Using 3-D FCN-Based Architecture With Coordinate Attention.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,21.
MLA	Buttar, Preetpal Kaur,et al."Land Cover Segmentation Using 3-D FCN-Based Architecture With Coordinate Attention".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 21(2024).