MFCD-Net: Cross Attention Based Multimodal Fusion Network for DPC Imagery Cloud Detection

doi:10.3390/rs14163905

	MFCD-Net: Cross Attention Based Multimodal Fusion Network for DPC Imagery Cloud Detection
	Zhang, Jingjing 1; Ge, Kai 1; Xun, Lina 1; Sun, Xiaobing 2; Xiong, Wei 2; Zou, Mingmin 3; Zhong, Jinqin 4; Li, Teng 1
刊名	REMOTE SENSING
	2022-08-01
卷号	14
关键词	cloud detection polarization multimodal fusion cross attention
DOI	10.3390/rs14163905
通讯作者	Li, Teng(liteng@ahu.edu.cn)
英文摘要	As one kind of remote sensing image (RSI), Directional Polarimetric Camera (DPC) data are of great significance in atmospheric radiation transfer and climate feedback. The availability of DPC images is often hindered by clouds, and effective cloud detection is the premise of many applications. Conventional threshold-based cloud detection methods are limited in performance and generalization capability. In this paper, we propose an effective learning-based 3D multimodal fusion cloud detection network (MFCD-Net) model. The network is a three-input stream architecture with a 3D-Unet-like encoder-decoder structure to fuse the multiple modalities of reflectance image, polarization image Q, and polarization image U in DPC imagery, with consideration of the angle and spectral information. Furthermore, cross attention is utilized in fusing the polarization features into the spatial-angle-spectral features in the reflectance image to enhance the expression of the fused features. The dataset used in this paper is obtained from the DPC cloud product and the cloud mask product. The proposed MFCD-Net achieved excellent cloud detection performance, with a recognition accuracy of 95.74%, according to the results of the experiments.
资助项目	Key Laboratory of Optical Calibration and Characterization, Chinese Academy of Sciences Open Research Foundation ; Anhui Provincial Natural Science Foundation of China[1908085J25]
WOS关键词	CLASSIFICATION ; POLDER
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	MDPI
WOS记录号	WOS:000845428300001
资助机构	Key Laboratory of Optical Calibration and Characterization, Chinese Academy of Sciences Open Research Foundation ; Anhui Provincial Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/131858]
专题	中国科学院合肥物质科学研究院
通讯作者	Li, Teng
作者单位	1.Anhui Univ, Sch Elect Engn & Automat, Key Lab Intelligent Comp & Signal Proc, Minist Educ, Hefei 230601, Peoples R China 2.Chinese Acad Sci, Key Lab Opt Calibrat & Characterizat, Hefei 230601, Peoples R China 3.Anhui Univ, Inst Phys Sci, Hefei 230601, Peoples R China 4.Anhui Univ, Sch Internet, Hefei 230601, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Jingjing,Ge, Kai,Xun, Lina,et al. MFCD-Net: Cross Attention Based Multimodal Fusion Network for DPC Imagery Cloud Detection[J]. REMOTE SENSING,2022,14.
APA	Zhang, Jingjing.,Ge, Kai.,Xun, Lina.,Sun, Xiaobing.,Xiong, Wei.,...&Li, Teng.(2022).MFCD-Net: Cross Attention Based Multimodal Fusion Network for DPC Imagery Cloud Detection.REMOTE SENSING,14.
MLA	Zhang, Jingjing,et al."MFCD-Net: Cross Attention Based Multimodal Fusion Network for DPC Imagery Cloud Detection".REMOTE SENSING 14(2022).