{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T11:10:03Z","timestamp":1781781003403,"version":"3.54.5"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2023,7,28]],"date-time":"2023-07-28T00:00:00Z","timestamp":1690502400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,7,28]],"date-time":"2023-07-28T00:00:00Z","timestamp":1690502400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["C2020203010"],"award-info":[{"award-number":["C2020203010"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62073280"],"award-info":[{"award-number":["62073280"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1007\/s00371-023-03022-6","type":"journal-article","created":{"date-parts":[[2023,7,28]],"date-time":"2023-07-28T19:01:52Z","timestamp":1690570912000},"page":"3199-3215","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Object detection based on polarization image fusion and grouped convolutional attention network"],"prefix":"10.1007","volume":"40","author":[{"given":"Ailing","family":"Tan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianan","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunxin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaohang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,7,28]]},"reference":[{"key":"3022_CR1","doi-asserted-by":"publisher","first-page":"1051","DOI":"10.1007\/s00371-021-02067-9","volume":"38","author":"G Chen","year":"2022","unstructured":"Chen, G., Qin, H.B.: Class-discriminative focal loss for extreme imbalanced multiclass object detection towards autonomous driving. Visual Comput. 38, 1051\u20131063 (2022)","journal-title":"Visual Comput."},{"key":"3022_CR2","doi-asserted-by":"publisher","first-page":"21405","DOI":"10.1109\/TITS.2022.3177615","volume":"23","author":"H Wang","year":"2022","unstructured":"Wang, H., Chen, Y., Cai, Y., et al.: An improved SFNet algorithm for semantic segmentation of low-light autonomous driving road scenes. IEEE Trans. Intell. Transp. Syst. 23, 21405\u201321417 (2022)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"3022_CR3","doi-asserted-by":"publisher","first-page":"1797","DOI":"10.1007\/s00371-019-01774-8","volume":"36","author":"S Zhang","year":"2020","unstructured":"Zhang, S., He, F.: Learning deep residual convolutional dehazing networks. Visual Comput. 36, 1797\u20131808 (2020)","journal-title":"Visual Comput."},{"key":"3022_CR4","doi-asserted-by":"publisher","first-page":"105742","DOI":"10.1016\/j.compag.2020.105742","volume":"178","author":"D Wu","year":"2020","unstructured":"Wu, D., Lv, S., Jiang, M., et al.: Using channel pruning-based YOLO v4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments. Comput. Electron. Agric. 178, 105742 (2020)","journal-title":"Comput. Electron. Agric."},{"key":"3022_CR5","first-page":"121","volume":"6","author":"Q An","year":"2021","unstructured":"An, Q., Chen, X., OuYang, Y.: Research on map matching of lidar\/vision sensor for automatic driving aided positioning. Int. J. Veh. Inf. Commun. Syst. 6, 121\u2013136 (2021)","journal-title":"Int. J. Veh. Inf. Commun. Syst."},{"key":"3022_CR6","doi-asserted-by":"publisher","DOI":"10.22967\/HCIS.2022.12.023","author":"JM Zhang","year":"2022","unstructured":"Zhang, J.M., Zou, X., Kuang, L.D., et al.: A more comprehensive traffic sign detection benchmark. Human-Centric Comput. Inf. Sci. (2022). https:\/\/doi.org\/10.22967\/HCIS.2022.12.023","journal-title":"Human-Centric Comput. Inf. Sci."},{"key":"3022_CR7","doi-asserted-by":"publisher","first-page":"997","DOI":"10.1007\/s00371-021-02380-3","volume":"39","author":"Q Hu","year":"2023","unstructured":"Hu, Q., Zhang, Y., Zhu, Y., et al.: Single image dehazing algorithm based on sky segmentation and optimal transmission maps. Visual Comput. 39, 997\u20131013 (2023)","journal-title":"Visual Comput."},{"key":"3022_CR8","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1007\/s00371-021-02365-2","volume":"39","author":"XL Li","year":"2023","unstructured":"Li, X.L., Hua, Z., Li, J.: Attention-based adaptive feature selection for multi-stage image dehazing. Visual Comput. 39, 663\u2013678 (2023)","journal-title":"Visual Comput."},{"key":"3022_CR9","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1109\/TIP.2018.2867951","volume":"28","author":"B Li","year":"2018","unstructured":"Li, B., Ren, W., Fu, D., et al.: Benchmarking single-image dehazing and beyond. IEEE Trans. Image Process. 28, 492\u2013505 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"3022_CR10","doi-asserted-by":"publisher","first-page":"7539","DOI":"10.1109\/JSTARS.2022.3202866","volume":"15","author":"YW Zhuo","year":"2022","unstructured":"Zhuo, Y.W., Zhang, T.J., Hu, J.F., et al.: A deep-shallow fusion network with multi detail extractor and spectral attention for hyperspectral pansharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 15, 7539\u20137555 (2022)","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"3022_CR11","doi-asserted-by":"publisher","DOI":"10.1002\/cav.2147","author":"S Shit","year":"2023","unstructured":"Shit, S., Das, D.K., Ray, D.N., et al.: An encoder-decoder based CNN architecture using end to end dehaze and detection network for proper image visualization and detection. Comput. Animat. Virtual Worlds (2023). https:\/\/doi.org\/10.1002\/cav.2147","journal-title":"Comput. Animat. Virtual Worlds"},{"key":"3022_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00371-020-02010-4","volume":"38","author":"BL Das","year":"2022","unstructured":"Das, B.L., Ebenezer, J.P., Mukhopadhyay, S.: A comparative study of single image fog removal methods. Visual Comput. 38, 1\u201317 (2022)","journal-title":"Visual Comput."},{"key":"3022_CR13","doi-asserted-by":"publisher","first-page":"103776","DOI":"10.1016\/j.jvcir.2023.103776","volume":"91","author":"Y Chen","year":"2023","unstructured":"Chen, Y., Xia, R., Zou, K., et al.: Image inpainting algorithm via features fusion and two-steps inpainting. J. Visual Commun. Image Represent. 91, 103776 (2023)","journal-title":"J. Visual Commun. Image Represent."},{"key":"3022_CR14","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-023-01811-y","author":"Y Chen","year":"2023","unstructured":"Chen, Y., Xia, R., Zou, K., et al.: Image inpainting via repair network and optimization network. Int. J. Mach. Learn. Cybern. (2023). https:\/\/doi.org\/10.1007\/s13042-023-01811-y","journal-title":"Int. J. Mach. Learn. Cybern."},{"key":"3022_CR15","unstructured":"Yang K, Yan X, Sun J, Xu N, Chen X.: A DeRF-YOLOv3-X object detection method for rain and fog background. J. Sens. Technol., 1222\u20131229 (2022)."},{"key":"3022_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2022.3216413","volume":"71","author":"H Wang","year":"2022","unstructured":"Wang, H., Xu, Y., He, Y., et al.: A multi objective visual detection algorithm for fog driving scenes based on improved YOLOv5. IEEE Trans. Instrum. Meas. 71, 1\u201312 (2022)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"3022_CR17","unstructured":"Bian Y, Xing T et al.: Color Transfer Biomedical Imaging Technology Based on Deep Learning Infrared and Laser Engineering, 20210891-1-20210891-18 (2022)."},{"key":"3022_CR18","doi-asserted-by":"publisher","first-page":"2357","DOI":"10.1007\/s00371-021-02117-2","volume":"38","author":"PS Baiju","year":"2022","unstructured":"Baiju, P.S., Antony, S.L., George, S.N.: An intelligent framework for transmission map estimation in image dehazing using total variation regularized low-rank approximation. Visual Comput. 38, 2357\u20132372 (2022)","journal-title":"Visual Comput."},{"key":"3022_CR19","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1007\/s00371-018-1596-5","volume":"36","author":"SC Raikwar","year":"2020","unstructured":"Raikwar, S.C., Tapaswi, S.: Tight lower bound on transmission for single image dehazing. Visual Comput. 36, 191\u2013209 (2020)","journal-title":"Visual Comput."},{"key":"3022_CR20","doi-asserted-by":"publisher","first-page":"17873","DOI":"10.1109\/TITS.2022.3157901","volume":"23","author":"HF Wang","year":"2022","unstructured":"Wang, H.F., Shan, Y.H., Hao, T., et al.: Vehicle-road environment perception under low-visibility condition based on polarization features via deep learning. IEEE Trans. Intell. Transp. Syst. 23, 17873\u201317886 (2022)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"3022_CR21","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3155937","author":"C Lin","year":"2022","unstructured":"Lin, C., Rong, X., Yu, X.: Multiscale attention feature fusion networks for single image Dehazing and beyond. IEEE Trans. Multimed. (2022). https:\/\/doi.org\/10.1109\/TMM.2022.3155937","journal-title":"IEEE Trans. Multimed."},{"key":"3022_CR22","unstructured":"Liu W, Chen C, Jiang R, et al.: Holistic Attention-Fusion Adversarial Network for Single Image Defogging. Computer Vision and Pattern Recognition, 2202.09553, (2022)."},{"key":"3022_CR23","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1007\/s00371-018-1504-z","volume":"35","author":"CW Yang","year":"2019","unstructured":"Yang, C.W., Feng, H., Xu, Z., et al.: Correction of overexposure utilizing haze removal model and image fusion technique. Visual Comput. 35, 695\u2013705 (2019)","journal-title":"Visual Comput."},{"key":"3022_CR24","doi-asserted-by":"publisher","first-page":"10753","DOI":"10.1109\/TITS.2021.3095658","volume":"23","author":"R Blin","year":"2022","unstructured":"Blin, R., Ainouz, S., Canu, S., et al.: The polarlitis dataset: Road scenes under fog. IEEE Trans. Intell. Transp. Syst. 23, 10753\u201310762 (2022). https:\/\/doi.org\/10.1109\/TITS.2021.3095658","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"3022_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-022-02759-w","author":"WX Yin","year":"2023","unstructured":"Yin, W.X., He, K., Xu, D., et al.: Adaptive low light visual enhancement and high-significant target detection for infrared and visible image fusion. Visual Comput. (2023). https:\/\/doi.org\/10.1007\/s00371-022-02759-w","journal-title":"Visual Comput."},{"key":"3022_CR26","doi-asserted-by":"publisher","DOI":"10.3233\/AIS-220038","author":"JM Zhang","year":"2022","unstructured":"Zhang, J.M., Zheng, Z., Xie, X., et al.: A traffic sign detector based on network reparameterization and features adaptive weighting. J. Ambient Intell. Smart Environ. (2022). https:\/\/doi.org\/10.3233\/AIS-220038","journal-title":"J. Ambient Intell. Smart Environ."},{"key":"3022_CR27","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-023-1542","author":"JM Zhang","year":"2023","unstructured":"Zhang, J.M., Huang, H., Jin, X., et al.: Siamese visual tracking based on criss-cross attention and improved head network. Multimed. Tools Appl. (2023). https:\/\/doi.org\/10.1007\/s11042-023-1542","journal-title":"Multimed. Tools Appl."},{"key":"3022_CR28","doi-asserted-by":"publisher","first-page":"141662","DOI":"10.1109\/ACCESS.2019.2943241","volume":"7","author":"XH Zhang","year":"2019","unstructured":"Zhang, X.H., Wang, H., Xu, C., et al.: A lightweight feature optimizing network for ship detection in SAR image. IEEE Access 7, 141662\u2013141678 (2019)","journal-title":"IEEE Access"},{"key":"3022_CR29","doi-asserted-by":"publisher","first-page":"3337","DOI":"10.1109\/TGRS.2008.920467","volume":"46","author":"YQ Zhao","year":"2021","unstructured":"Zhao, Y.Q., Gong, P., Pan, Q.: Object detection by spectropolarimeteric imagery fusion. IEEE Trans. Geosci. Remote Sens. 46, 3337\u20133345 (2021)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"3022_CR30","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1016\/j.neucom.2020.10.044","volume":"423","author":"YH Cai","year":"2021","unstructured":"Cai, Y.H., Liu, J., Guo, Y., et al.: Video anomaly detection with multi-scale feature and temporal information fusion. Neurocomputing 423, 264\u2013273 (2021)","journal-title":"Neurocomputing"},{"key":"3022_CR31","doi-asserted-by":"publisher","first-page":"108045","DOI":"10.1016\/j.patcog.2021.108045","volume":"118","author":"JC Zhang","year":"2021","unstructured":"Zhang, J.C., Shao, J., Chen, J., et al.: Polarization image fusion with self-learned fusion strategy. Pattern Recognit. 118, 108045 (2021)","journal-title":"Pattern Recognit."},{"key":"3022_CR32","doi-asserted-by":"publisher","first-page":"1507","DOI":"10.1364\/OL.384189","volume":"45","author":"JC Zhang","year":"2020","unstructured":"Zhang, J.C., Shao, J., Chen, J., et al.: An unsupervised deep network for polarization image fusion. Optics Lett. 45, 1507\u20131510 (2020)","journal-title":"Optics Lett."},{"key":"3022_CR33","doi-asserted-by":"publisher","first-page":"5276","DOI":"10.3390\/rs14205276","volume":"14","author":"X Xu","year":"2022","unstructured":"Xu, X., Zhang, X., Shao, Z., et al.: A group-wise feature enhancement-and-fusion network with dual-polarization feature enrichment for SAR ship detection. Remote Sens. 14, 5276 (2022)","journal-title":"Remote Sens."},{"key":"3022_CR34","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-023-02782-5","author":"RY Bai","year":"2023","unstructured":"Bai, R.Y.: A general image orientation detection method by feature fusion. Visual Comput. (2023). https:\/\/doi.org\/10.1007\/s00371-023-02782-5","journal-title":"Visual Comput."},{"key":"3022_CR35","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-023-02795-0","author":"YT Chen","year":"2023","unstructured":"Chen, Y.T., Xia, R., Yang, K., et al.: Image super-resolution via multi-level features fusion network. Visual Comput. (2023). https:\/\/doi.org\/10.1007\/s00371-023-02795-0","journal-title":"Visual Comput."}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-023-03022-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-023-03022-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-023-03022-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,19]],"date-time":"2024-04-19T09:05:19Z","timestamp":1713517519000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-023-03022-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,28]]},"references-count":35,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,5]]}},"alternative-id":["3022"],"URL":"https:\/\/doi.org\/10.1007\/s00371-023-03022-6","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,28]]},"assertion":[{"value":"14 June 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 July 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}