FURSformer: Semantic Segmentation Network for Remote Sensing Images with Fused Heterogeneous Features

doi:10.3390/electronics12143113

	FURSformer: Semantic Segmentation Network for Remote Sensing Images with Fused Heterogeneous Features
	Zhang, Zehua 1; Liu, Bailin 1; Li, Yani2
	2023-07
发表期刊	ELECTRONICS
卷号	12 期号:14
摘要	Semantic segmentation of remote sensing images poses a formidable challenge within this domain. Our investigation commences with a pilot study aimed at scrutinizing the advantages and disadvantages of employing a Transformer architecture and a CNN architecture in remote sensing imagery (RSI). Our objective is to substantiate the indispensability of both local and global information for RSI analysis. In this research article, we harness the potential of the Transformer model to establish global contextual understanding while incorporating an additional convolution module for localized perception. Nonetheless, a direct fusion of these heterogeneous information sources often yields subpar outcomes. To address this limitation, we propose an innovative hierarchical fusion feature information module that this model can fuse Transformer and CNN features using an ensemble-to-set approach, thereby enhancing information compatibility. Our proposed model, named FURSformer, amalgamates the strengths of the Transformer architecture and CNN. The experimental results clearly demonstrate the effectiveness of this approach. Notably, our model achieved an outstanding accuracy of 90.78% mAccuracy on the DLRSD dataset.
关键词	semantic segmentation remote sensing images Transformer CNN
DOI	10.3390/electronics12143113
收录类别	SCIE
语种	英语
WOS研究方向	Computer Science ; Engineering ; Physics
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Physics, Applied
WOS记录号	WOS:001035158900001
出版者	MDPI
原始文献类型	Article
EISSN	2079-9292
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/35169
专题	统计与数据科学学院
通讯作者	Liu, Bailin
作者单位	1.Xian Technol Univ, Sch Comp Sci & Engn, Xian 710021, Peoples R China; 2.Lanzhou Univ Finance & Econ, Sch Stat, Lanzhou 730101, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Zehua,Liu, Bailin,Li, Yani. FURSformer: Semantic Segmentation Network for Remote Sensing Images with Fused Heterogeneous Features[J]. ELECTRONICS,2023,12(14).
APA	Zhang, Zehua,Liu, Bailin,&Li, Yani.(2023).FURSformer: Semantic Segmentation Network for Remote Sensing Images with Fused Heterogeneous Features.ELECTRONICS,12(14).
MLA	Zhang, Zehua,et al."FURSformer: Semantic Segmentation Network for Remote Sensing Images with Fused Heterogeneous Features".ELECTRONICS 12.14(2023).