Salient target detection in hyperspectral image based on visual attention
Abstract Salient target detection in hyperspectral image is a significant task in image segmentation, target tracking, image classification and so on. Many existing saliency detection algorithms for hyperspectral image detection cannot present the boundary of the salient target well and the descript...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-08-01
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| Series: | IET Image Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ipr2.12197 |
| _version_ | 1828376838762659840 |
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| author | Minghua Zhao Liqin Yue Jing Hu Shuangli Du Peng Li Li Wang |
| author_facet | Minghua Zhao Liqin Yue Jing Hu Shuangli Du Peng Li Li Wang |
| author_sort | Minghua Zhao |
| collection | DOAJ |
| description | Abstract Salient target detection in hyperspectral image is a significant task in image segmentation, target tracking, image classification and so on. Many existing saliency detection algorithms for hyperspectral image detection cannot present the boundary of the salient target well and the description of the target is not enough. A method based on visual attention to detect the salient target of hyperspectral image is proposed in this paper. In this method, frequency‐tuned (FT) salient detection model is combined with spectral salient to detect target in hyperspectral image. FT model is used to get target with clear border, and spectral information is made full use of to improve the accuracy of target detection. Firstly, FT is used to detect saliency of hyperspectral image and the saliency map is generated. Then, spectral information of the hyperspectral image is measured by similarity, and the spectral saliency is obtained by calculating spectral angle distance between the spectral vectors. Finally, the FT's saliency map and the spectral saliency map are combined to form the final saliency target maps. Experimental results show that our method is superior to other methods in saliency target detection of hyperspectral image, and the precision‐recall curve and F‐measure are better as well. |
| first_indexed | 2024-04-14T08:04:47Z |
| format | Article |
| id | doaj.art-f239ea87945b49f2b188d0b45fdf3745 |
| institution | Directory Open Access Journal |
| issn | 1751-9659 1751-9667 |
| language | English |
| last_indexed | 2024-04-14T08:04:47Z |
| publishDate | 2021-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Image Processing |
| spelling | doaj.art-f239ea87945b49f2b188d0b45fdf37452022-12-22T02:04:47ZengWileyIET Image Processing1751-96591751-96672021-08-0115102301230810.1049/ipr2.12197Salient target detection in hyperspectral image based on visual attentionMinghua Zhao0Liqin Yue1Jing Hu2Shuangli Du3Peng Li4Li Wang5School of Computer Science and Engineering Xi'an University of Technology Xi'an 710048 ChinaSchool of Computer Science and Engineering Xi'an University of Technology Xi'an 710048 ChinaSchool of Computer Science and Engineering Xi'an University of Technology Xi'an 710048 ChinaSchool of Computer Science and Engineering Xi'an University of Technology Xi'an 710048 ChinaSchool of Computer Science and Engineering Xi'an University of Technology Xi'an 710048 ChinaPersonnel Department Xi’ an University of Technology Xi'an 710048 ChinaAbstract Salient target detection in hyperspectral image is a significant task in image segmentation, target tracking, image classification and so on. Many existing saliency detection algorithms for hyperspectral image detection cannot present the boundary of the salient target well and the description of the target is not enough. A method based on visual attention to detect the salient target of hyperspectral image is proposed in this paper. In this method, frequency‐tuned (FT) salient detection model is combined with spectral salient to detect target in hyperspectral image. FT model is used to get target with clear border, and spectral information is made full use of to improve the accuracy of target detection. Firstly, FT is used to detect saliency of hyperspectral image and the saliency map is generated. Then, spectral information of the hyperspectral image is measured by similarity, and the spectral saliency is obtained by calculating spectral angle distance between the spectral vectors. Finally, the FT's saliency map and the spectral saliency map are combined to form the final saliency target maps. Experimental results show that our method is superior to other methods in saliency target detection of hyperspectral image, and the precision‐recall curve and F‐measure are better as well.https://doi.org/10.1049/ipr2.12197Optical, image and video signal processingComputer vision and image processing techniquesOther topics in statisticsOther topics in statistics |
| spellingShingle | Minghua Zhao Liqin Yue Jing Hu Shuangli Du Peng Li Li Wang Salient target detection in hyperspectral image based on visual attention IET Image Processing Optical, image and video signal processing Computer vision and image processing techniques Other topics in statistics Other topics in statistics |
| title | Salient target detection in hyperspectral image based on visual attention |
| title_full | Salient target detection in hyperspectral image based on visual attention |
| title_fullStr | Salient target detection in hyperspectral image based on visual attention |
| title_full_unstemmed | Salient target detection in hyperspectral image based on visual attention |
| title_short | Salient target detection in hyperspectral image based on visual attention |
| title_sort | salient target detection in hyperspectral image based on visual attention |
| topic | Optical, image and video signal processing Computer vision and image processing techniques Other topics in statistics Other topics in statistics |
| url | https://doi.org/10.1049/ipr2.12197 |
| work_keys_str_mv | AT minghuazhao salienttargetdetectioninhyperspectralimagebasedonvisualattention AT liqinyue salienttargetdetectioninhyperspectralimagebasedonvisualattention AT jinghu salienttargetdetectioninhyperspectralimagebasedonvisualattention AT shuanglidu salienttargetdetectioninhyperspectralimagebasedonvisualattention AT pengli salienttargetdetectioninhyperspectralimagebasedonvisualattention AT liwang salienttargetdetectioninhyperspectralimagebasedonvisualattention |