CIOMP OpenIR
Content-aware dynamic filter salient object detection network in multispectral polarimetric imagery
S. N. Gao; X. B. Yang; L. Jiang; Z. M. Tu; M. Wu and Z. Q. Fu
2022
发表期刊Optik
ISSN0030-4026
卷号269页码:17
摘要Salient object detection (SOD) is widely applied in image segmentation, image fusion, and adaptive compression. However, the SOD of visible images in complex scenes remains a promi-nent problem due to the lack of low-level features. To solve this problem, a Content-aware Dy-namic Filter salient object detection Network using visible and polarized mask images is proposed. It can use the prior information on polarization dimension to guide the SOD of visual features. First, to extract information from the MSPI, a salient polarization mask M composed of three channels is generated. Secondly, deep fused features of the M and RGB images are generated by Encoder and DenseNet fusion structures with receptive fields. Finally, the fused features guide the decoder to generate saliency maps through the content-aware dynamic filtering model. The indexes of the salient object detection results given in this paper are superior to the state-of-the-art algorithms, especially for objects in dim, low contrast, or high transparency and other complex scenarios.
DOI10.1016/j.ijleo.2022.169944
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收录类别sci ; ei
语种英语
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文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/66488
专题中国科学院长春光学精密机械与物理研究所
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S. N. Gao,X. B. Yang,L. Jiang,et al. Content-aware dynamic filter salient object detection network in multispectral polarimetric imagery[J]. Optik,2022,269:17.
APA S. N. Gao,X. B. Yang,L. Jiang,Z. M. Tu,&M. Wu and Z. Q. Fu.(2022).Content-aware dynamic filter salient object detection network in multispectral polarimetric imagery.Optik,269,17.
MLA S. N. Gao,et al."Content-aware dynamic filter salient object detection network in multispectral polarimetric imagery".Optik 269(2022):17.
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