{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T09:10:07Z","timestamp":1747386607261,"version":"3.40.5"},"reference-count":60,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T00:00:00Z","timestamp":1736294400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T00:00:00Z","timestamp":1736294400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"the Harbin Science and Technology Bureau Manufacturing Innovation Talent Project","award":["CXRC20221110393","CXRC20221110393","CXRC20221110393"],"award-info":[{"award-number":["CXRC20221110393","CXRC20221110393","CXRC20221110393"]}]},{"name":"the Heilongjiang Science and Technology Department Provincial Key R&D Program Applied Research Project","award":["SC2022ZX06C0025","SC2022ZX06C0025","SC2022ZX06C0025"],"award-info":[{"award-number":["SC2022ZX06C0025","SC2022ZX06C0025","SC2022ZX06C0025"]}]},{"name":"the Heilongjiang Science and Technology Department Provincial Key R&D Program Guidance Project","award":["GZ20220088","GZ20220088","GZ20220088"],"award-info":[{"award-number":["GZ20220088","GZ20220088","GZ20220088"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1007\/s00371-024-03727-2","type":"journal-article","created":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T11:46:51Z","timestamp":1736336811000},"page":"5373-5389","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Attention-guided dual feature extraction approach for small target detection in infrared images"],"prefix":"10.1007","volume":"41","author":[{"given":"Yufang","family":"Yang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0435-4012","authenticated-orcid":false,"given":"Yining","family":"Xie","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Kaihua","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,1,8]]},"reference":[{"issue":"4","key":"3727_CR1","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1109\/MCOM.2018.1700430","volume":"56","author":"X Shi","year":"2018","unstructured":"Shi, X., Yang, C., Xie, W., Liang, C., Shi, Z., Chen, J.: Anti-drone system with multiple surveillance technologies: Architecture. Implement. Chall. IEEE Commun. Mag. 56(4), 68\u201374 (2018)","journal-title":"Implement. Chall. IEEE Commun. Mag."},{"issue":"12","key":"3727_CR2","doi-asserted-by":"publisher","first-page":"5039","DOI":"10.1109\/JSTARS.2018.2877501","volume":"11","author":"J Gao","year":"2018","unstructured":"Gao, J., Guo, Y., Lin, Z., An, W., Li, J.: Robust infrared small target detection using multiscale gray and variance difference measures. IEEE J. Sel. Top. Appl. Earth Observations Remote Sens. 11(12), 5039\u20135052 (2018)","journal-title":"IEEE J. Sel. Top. Appl. Earth Observations Remote Sens."},{"issue":"6","key":"3727_CR3","doi-asserted-by":"publisher","first-page":"2347","DOI":"10.1007\/s00371-022-02445-x","volume":"39","author":"SB Kera","year":"2023","unstructured":"Kera, S.B., Tadepalli, A., Ranjani, J.J.: A paced multi-stage block-wise approach for object detection in thermal images. Vis. Comput. 39(6), 2347\u20132363 (2023). https:\/\/doi.org\/10.1007\/s00371-022-02445-x","journal-title":"Vis. Comput."},{"key":"3727_CR4","first-page":"949","volume":"2021","author":"Y Dai","year":"2021","unstructured":"Dai, Y., Wu, Y., Zhou, F., Barnard, K.: Asymmetric contextual modulation for infrared small target detection. IEEE Winter Conf. Appl. Comput .Vis. (WACV) 2021, 949\u2013958 (2021)","journal-title":"IEEE Winter Conf. Appl. Comput .Vis. (WACV)"},{"key":"3727_CR5","doi-asserted-by":"publisher","first-page":"103755","DOI":"10.1016\/j.infrared.2021.103755","volume":"116","author":"L Huang","year":"2021","unstructured":"Huang, L., Dai, S., Huang, T., Huang, X., Wang, H.: Infrared small target segmentation with multiscale feature representation. Infrared Phys. Technol. 116, 103755 (2021). https:\/\/doi.org\/10.1016\/j.infrared.2021.103755","journal-title":"Infrared Phys. Technol."},{"key":"3727_CR6","doi-asserted-by":"crossref","unstructured":"T. Zhang, T. Feng, S. Alam, S. Lee, M. Zhang, S.S. Narayanan, S. Avestimehr, FedAudio: A Federated Learning Benchmark for Audio Tasks, ICASSP 2023\u20142023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), , pp. 1\u20135 (2023)","DOI":"10.1109\/ICASSP49357.2023.10096500"},{"key":"3727_CR7","doi-asserted-by":"publisher","first-page":"104107","DOI":"10.1016\/j.infrared.2022.104107","volume":"123","author":"C Yu","year":"2022","unstructured":"Yu, C., Liu, Y., Wu, S., Hu, Z., Xia, X., Lan, D., Liu, X.: Infrared small target detection based on multiscale local contrast learning networks. Infrared Phys. Technol. 123, 104107 (2022). https:\/\/doi.org\/10.1016\/j.infrared.2022.104107","journal-title":"Infrared Phys. Technol."},{"issue":"1","key":"3727_CR8","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1109\/TII.2021.3085669","volume":"18","author":"J Li","year":"2022","unstructured":"Li, J., Chen, J., Sheng, B., Li, P., Yang, P., Feng, D.D., Qi, J.: Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network. IEEE Trans. Ind. Inform. 18(1), 163\u2013173 (2022). https:\/\/doi.org\/10.1109\/TII.2021.3085669","journal-title":"IEEE Trans. Ind. Inform."},{"issue":"8","key":"3727_CR9","doi-asserted-by":"publisher","first-page":"3752","DOI":"10.1109\/JSTARS.2017.2700023","volume":"10","author":"Y Dai","year":"2017","unstructured":"Dai, Y., Wu, Y.: Reweighted infrared patch-tensor model with both nonlocal and local priors for single-frame small target detection. IEEE J. Sel. Top. Appl. Earth Observations Remote Sens. 10(8), 3752\u20133767 (2017). https:\/\/doi.org\/10.1109\/JSTARS.2017.2700023","journal-title":"IEEE J. Sel. Top. Appl. Earth Observations Remote Sens."},{"issue":"8","key":"3727_CR10","doi-asserted-by":"publisher","first-page":"2546","DOI":"10.1109\/TVCG.2019.2894627","volume":"26","author":"B Zhang","year":"2020","unstructured":"Zhang, B., Sheng, B., Li, P., Lee, T.Y.: Depth of field rendering using multilayer-neighborhood optimization. IEEE Trans. Visual Comput. Gr. 26(8), 2546\u20132559 (2020). https:\/\/doi.org\/10.1109\/TVCG.2019.2894627","journal-title":"IEEE Trans. Visual Comput. Gr."},{"issue":"11","key":"3727_CR11","doi-asserted-by":"publisher","first-page":"1780","DOI":"10.1109\/LGRS.2018.2856762","volume":"15","author":"J Liu","year":"2018","unstructured":"Liu, J., He, Z., Chen, Z., Shao, L.: Tiny and dim infrared target detection based on weighted local contrast. IEEE Geosci. Remote Sens. Lett. 15(11), 1780\u20131784 (2018). https:\/\/doi.org\/10.1109\/LGRS.2018.2856762","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"3727_CR12","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.infrared.2019.06.003","volume":"101","author":"S Aghaziyarati","year":"2019","unstructured":"Aghaziyarati, S., Moradi, S., Talebi, H.: Small infrared target detection using absolute average difference weighted by cumulative directional derivatives. Infrared Phy. Technol. 101, 78\u201387 (2019). https:\/\/doi.org\/10.1016\/j.infrared.2019.06.003","journal-title":"Infrared Phy. Technol."},{"key":"3727_CR13","doi-asserted-by":"publisher","first-page":"107727","DOI":"10.1016\/j.sigpro.2020.107727","volume":"177","author":"S Moradi","year":"2020","unstructured":"Moradi, S., Moallem, P., Sabahi, M.F.: Fast and robust small infrared target detection using absolute directional mean difference algorithm. Signal Process. 177, 107727 (2020). https:\/\/doi.org\/10.1016\/j.sigpro.2020.107727","journal-title":"Signal Process."},{"issue":"7","key":"3727_CR14","doi-asserted-by":"publisher","first-page":"4204","DOI":"10.1109\/TGRS.2016.2538295","volume":"54","author":"H Deng","year":"2016","unstructured":"Deng, H., Sun, X., Liu, M., Ye, C., Zhou, X.: Small infrared target detection based on weighted local difference measure. IEEE Trans. Geosci. Remote Sens. 54(7), 4204\u20134214 (2016). https:\/\/doi.org\/10.1109\/TGRS.2016.2538295","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"1","key":"3727_CR15","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1109\/TGRS.2013.2242477","volume":"52","author":"CLP Chen","year":"2014","unstructured":"Chen, C.L.P., Li, H., Wei, Y., Xia, T., Tang, Y.Y.: A local contrast method for small infrared target detection. IEEE Trans. Geosci. Remote Sens. 52(1), 574\u2013581 (2014). https:\/\/doi.org\/10.1109\/TGRS.2013.2242477","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"10","key":"3727_CR16","doi-asserted-by":"publisher","first-page":"1822","DOI":"10.1109\/LGRS.2019.2954578","volume":"17","author":"J Han","year":"2020","unstructured":"Han, J., Moradi, S., Faramarzi, I., Liu, C., Zhang, H., Zhao, Q.: A local contrast method for infrared small-target detection utilizing a tri-layer window. IEEE Geosci. Remote Sens. Lett. 17(10), 1822\u20131826 (2020). https:\/\/doi.org\/10.1109\/LGRS.2019.2954578","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"3727_CR17","doi-asserted-by":"crossref","unstructured":"Cui Y, Shi D, Zhang Y, et al. IDNet: A single-shot object detector based on feature fusion[C]\/\/2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI). IEEE 1137\u20131144 (2020)","DOI":"10.1109\/ICTAI50040.2020.00173"},{"key":"3727_CR18","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.patcog.2016.04.002","volume":"58","author":"Y Wei","year":"2016","unstructured":"Wei, Y., You, X., Li, H.: Multiscale patch-based contrast measure for small infrared target detection. Pattern Recognit. 58, 216\u2013226 (2016). https:\/\/doi.org\/10.1016\/j.patcog.2016.04.002","journal-title":"Pattern Recognit."},{"issue":"1","key":"3727_CR19","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1109\/LGRS.2019.2914432","volume":"17","author":"C Xia","year":"2020","unstructured":"Xia, C., Li, X., Zhao, L., Shu, R.: Infrared small target detection based on multiscale local contrast measure using local energy factor. IEEE Geosci. Remote Sens. Lett. 17(1), 157\u2013161 (2020). https:\/\/doi.org\/10.1109\/LGRS.2019.2914432","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"3727_CR20","doi-asserted-by":"publisher","first-page":"32217","DOI":"10.1109\/ACCESS.2019.2903808","volume":"7","author":"J Gao","year":"2019","unstructured":"Gao, J., Lin, Z., An, W.: Infrared small target detection using a temporal variance and spatial patch contrast filter. IEEE Access 7, 32217\u201332226 (2019). https:\/\/doi.org\/10.1109\/ACCESS.2019.2903808","journal-title":"IEEE Access"},{"key":"3727_CR21","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.infrared.2017.12.018","volume":"89","author":"H Zhang","year":"2018","unstructured":"Zhang, H., Zhang, L., Yuan, D., Chen, H.: Infrared small target detection based on local intensity and gradient properties. Infrared Phys. Technol. 89, 88\u201396 (2018). https:\/\/doi.org\/10.1016\/j.infrared.2017.12.018","journal-title":"Infrared Phys. Technol."},{"key":"3727_CR22","doi-asserted-by":"publisher","DOI":"10.3390\/rs12091520","author":"X Guan","year":"2020","unstructured":"Guan, X., Zhang, L., Huang, S., Peng, Z.: Infrared small target detection via non-convex tensor rank surrogate joint local contrast energy. Remote Sens. (2020). https:\/\/doi.org\/10.3390\/rs12091520","journal-title":"Remote Sens."},{"issue":"12","key":"3727_CR23","doi-asserted-by":"publisher","first-page":"4996","DOI":"10.1109\/TIP.2013.2281420","volume":"22","author":"C Gao","year":"2013","unstructured":"Gao, C., Meng, D., Yang, Y., Wang, Y., Zhou, X., Hauptmann, A.G.: Infrared patch-image model for small target detection in a single image. IEEE Trans. Image Process. 22(12), 4996\u20135009 (2013). https:\/\/doi.org\/10.1109\/TIP.2013.2281420","journal-title":"IEEE Trans. Image Process."},{"key":"3727_CR24","doi-asserted-by":"crossref","unstructured":"Cui Y, Knoll A. PSNet: Towards efficient image restoration with self-attention[J]. IEEE Robotics and Automation Letters, (2023)","DOI":"10.1109\/LRA.2023.3300254"},{"key":"3727_CR25","doi-asserted-by":"crossref","unstructured":"Cui Y, Ren W, Cao X, et al. Revitalizing convolutional network for image restoration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, (2024).","DOI":"10.1109\/TPAMI.2024.3419007"},{"key":"3727_CR26","doi-asserted-by":"crossref","unstructured":"Cui Y, Ren W, Knoll A. Omni-Kernel Network for Image Restoration[C]\/\/Proceedings of the AAAI Conference on Artificial Intelligence. 38(2): 1426\u20131434 (2024)","DOI":"10.1609\/aaai.v38i2.27907"},{"key":"3727_CR27","first-page":"211","volume":"1","author":"M Liu","year":"2017","unstructured":"Liu, M., Du, H.-Y., Zhao, Y.-J., Dong, L.-Q.: Automation, image small target detection based on deep learning with SNR controlled sample generation. Curr. Trends Comput. Sci. Mech. Automation 1, 211\u2013220 (2017)","journal-title":"Curr. Trends Comput. Sci. Mech. Automation"},{"issue":"1","key":"3727_CR28","doi-asserted-by":"publisher","first-page":"485","DOI":"10.1109\/TAES.2020.3024391","volume":"57","author":"B McIntosh","year":"2021","unstructured":"McIntosh, B., Venkataramanan, S., Mahalanobis, A.: Infrared target detection in cluttered environments by maximization of a target to clutter ratio (TCR) metric using a convolutional neural network. IEEE Trans. Aerosp. Electron. Syst. 57(1), 485\u2013496 (2021). https:\/\/doi.org\/10.1109\/TAES.2020.3024391","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"3727_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2022.3163410","volume":"60","author":"K Wang","year":"2022","unstructured":"Wang, K., Du, S., Liu, C., Cao, Z.: Interior attention-aware network for infrared small target detection. IEEE Trans. Geosci. Remote Sens. 60, 1\u201313 (2022). https:\/\/doi.org\/10.1109\/TGRS.2022.3163410","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"2022","key":"3727_CR30","doi-asserted-by":"publisher","first-page":"1745","DOI":"10.1109\/TIP.2022.3199107","volume":"32","author":"B Li","year":"2022","unstructured":"Li, B., Xiao, C., Wang, L., Wang, Y., Lin, Z., Li, M., An, W., Guo, Y.: Dense nested attention network for infrared small target detection. IEEE Trans. Image Process. 32(2022), 1745\u20131758 (2022). https:\/\/doi.org\/10.1109\/TIP.2022.3199107","journal-title":"IEEE Trans. Image Process."},{"key":"3727_CR31","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1109\/TIP.2022.3228497","volume":"32","author":"X Wu","year":"2022","unstructured":"Wu, X., Hong, D., Chanussot, J.: UIU-Net: U-Net in U-Net for infrared small object detection. IEEE Trans. Image Process. 32, 364\u2013376 (2022). https:\/\/doi.org\/10.1109\/TIP.2022.3228497","journal-title":"IEEE Trans. Image Process."},{"issue":"2023","key":"3727_CR32","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2023.3235002","volume":"61","author":"T Wu","year":"2023","unstructured":"Wu, T., Li, B., Luo, Y., Wang, Y., Xiao, C., Liu, T., Yang, J., An, W., Guo, Y.: Sensing, MTU-Net: Multilevel transUNet for space-based infrared tiny ship detection. IEEE Trans. Geosci. Remote Sens. 61(2023), 1\u201315 (2023). https:\/\/doi.org\/10.1109\/TGRS.2023.3235002","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"3727_CR33","doi-asserted-by":"crossref","unstructured":"P. Pan, H. Wang, C. Wang, C.J.a.p.a. Nie, ABC: Attention with Bilinear Correlation for Infrared Small Target Detection, (2023).","DOI":"10.1109\/ICME55011.2023.00406"},{"key":"3727_CR34","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/TMM.2021.3120873","volume":"25","author":"X Lin","year":"2023","unstructured":"Lin, X., Sun, S., Huang, W., Sheng, B., Li, P., Feng, D.D.: EAPT: Efficient attention pyramid transformer for image processing. IEEE Trans. Multimedia 25, 50\u201361 (2023). https:\/\/doi.org\/10.1109\/TMM.2021.3120873","journal-title":"IEEE Trans. Multimedia"},{"key":"3727_CR35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3314586","author":"R Kou","year":"2023","unstructured":"Kou, R., Wang, C., Yu, Y., Peng, Z., Yang, M., Huang, F., Fu, Q.: Sensing, LW-IRSTNet: Lightweight infrared small target segmentation network and application deployment. IEEE Trans. Geosci. Remote Sens. (2023). https:\/\/doi.org\/10.1109\/TGRS.2023.3314586","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"3727_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2023.323515","volume":"61","author":"H Sun","year":"2023","unstructured":"Sun, H., Bai, J., Yang, F., Bai, X.: Sensing, receptive-field and direction induced attention network for infrared dim small target detection with a large-scale dataset IRDST. IEEE Trans. Geosci. Remote Sens. 61, 1\u201313 (2023). https:\/\/doi.org\/10.1109\/TGRS.2023.323515","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"3727_CR37","doi-asserted-by":"crossref","unstructured":"J. Silverman, C.E. Caefer, S. DiSalvo, V.E. Vickers, Temporal filtering for point target detection in staring IR imagery: II. Recursive variance filter, Signal and Data Processing of Small Targets 1998, SPIE, pp. 44\u201353 (1998)","DOI":"10.1117\/12.324648"},{"issue":"2","key":"3727_CR38","doi-asserted-by":"publisher","first-page":"570","DOI":"10.1109\/TAES.2002.1008987","volume":"38","author":"AP Tzannes","year":"2002","unstructured":"Tzannes, A.P., Brooks, D.H.: Systems, detecting small moving objects using temporal hypothesis testing. IEEE Trans. Aerosp. Electron. Syst. 38(2), 570\u2013586 (2002)","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"3727_CR39","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.infrared.2015.09.003","volume":"73","author":"D Liu","year":"2015","unstructured":"Liu, D., Li, Z., Wang, X., Zhang, J.J.I.P.: Technology, moving target detection by nonlinear adaptive filtering on temporal profiles in infrared image sequences. Infrared Phys. Technol. 73, 41\u201348 (2015). https:\/\/doi.org\/10.1016\/j.infrared.2015.09.003","journal-title":"Infrared Phys. Technol."},{"key":"3727_CR40","doi-asserted-by":"publisher","first-page":"32217","DOI":"10.1109\/ACCESS.2019.2903808","volume":"7","author":"J Gao","year":"2019","unstructured":"Gao, J., Lin, Z., An, W.: Infrared small target detection using a temporal variance and spatial patch contrast filter. IEEE Access 7, 32217\u201332226 (2019). https:\/\/doi.org\/10.1109\/ACCESS.2019.2903808","journal-title":"IEEE Access"},{"key":"3727_CR41","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/j.infrared.2016.02.010","volume":"76","author":"L Deng","year":"2016","unstructured":"Deng, L., Zhu, H., Tao, C., Wei, Y.: Technology, infrared moving point target detection based on spatial\u2013temporal local contrast filter. Infrared Phys. Technol. 76, 168\u2013173 (2016). https:\/\/doi.org\/10.1016\/j.infrared.2016.02.010","journal-title":"Infrared Phys. Technol."},{"issue":"10","key":"3727_CR42","doi-asserted-by":"publisher","first-page":"1817","DOI":"10.1109\/LGRS.2019.2954715","volume":"17","author":"P Du","year":"2019","unstructured":"Du, P., Hamdulla, A.: Infrared moving small-target detection using spatial-temporal local difference measure. IEEE Geosci. Remote Sens Lett. 17(10), 1817\u20131821 (2019). https:\/\/doi.org\/10.1109\/LGRS.2019.2954715","journal-title":"IEEE Geosci. Remote Sens Lett."},{"issue":"7","key":"3727_CR43","doi-asserted-by":"publisher","first-page":"6662","DOI":"10.1109\/TCYB.2021.3079311","volume":"52","author":"B Sheng","year":"2022","unstructured":"Sheng, B., Li, P., Ali, R., Chen, C.L.P.: improving video temporal consistency via broad learning system. IEEE Trans. Cybern 52(7), 6662\u20136675 (2022). https:\/\/doi.org\/10.1109\/TCYB.2021.3079311","journal-title":"IEEE Trans. Cybern"},{"key":"3727_CR44","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/LGRS.2020.3048199","volume":"19","author":"D Pang","year":"2021","unstructured":"Pang, D., Shan, T., Ma, P., Li, W., Liu, S., Tao, R.: A novel spatiotemporal saliency method for low-altitude slow small infrared target detection. IEEE Geosci Remote Sens. Letters 19, 1\u20135 (2021). https:\/\/doi.org\/10.1109\/LGRS.2020.3048199","journal-title":"IEEE Geosci Remote Sens. Letters"},{"issue":"12","key":"3727_CR45","doi-asserted-by":"publisher","first-page":"8689","DOI":"10.1109\/TGRS.2020.2989825","volume":"58","author":"HK Liu","year":"2020","unstructured":"Liu, H.K., Zhang, L., Huang, H.: Small target detection in infrared videos based on spatio-temporal tensor model. EEE Trans. Geosci Remote Sens. 58(12), 8689\u20138700 (2020). https:\/\/doi.org\/10.1109\/TGRS.2020.2989825","journal-title":"EEE Trans. Geosci Remote Sens."},{"issue":"14","key":"3727_CR46","doi-asserted-by":"publisher","first-page":"5136","DOI":"10.3390\/s22145136","volume":"22","author":"J Mu","year":"2022","unstructured":"Mu, J., Rao, J., Chen, R., Li, F.: Low-altitude infrared slow-moving small target detection via spatial-temporal features measure. Sensors 22(14), 5136 (2022). https:\/\/doi.org\/10.3390\/s22145136","journal-title":"Sensors"},{"issue":"11","key":"3727_CR47","doi-asserted-by":"publisher","first-page":"9813","DOI":"10.1109\/TGRS.2020.3044958","volume":"9","author":"Y Dai","year":"2021","unstructured":"Dai, Y., Wu, Y., Zhou, F., Barnard, K.: Attentional local contrast networks for infrared small target detection. IEEE Trans. Geosci. Remote Sens. 9(11), 9813\u20139824 (2021)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"3727_CR48","doi-asserted-by":"crossref","unstructured":"Y. Dai, Y. Wu, F. Zhou, and K. Barnard, \u201cAsymmetric contextual modulation for infrared small target detection,\u201d In Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 950\u2013959 (2021)","DOI":"10.1109\/WACV48630.2021.00099"},{"key":"3727_CR49","doi-asserted-by":"publisher","first-page":"3752","DOI":"10.1109\/JSTARS.2017.2700023","volume":"8","author":"Y Dai","year":"2017","unstructured":"Dai, Y., Wu, Y.: Reweighted infrared patch-tensor model with both nonlocal and local priors for single-frame small target detection\u201d. IEEE J. Sel Top Appl. Earth Observations Remote Sens. 8, 3752\u20133767 (2017)","journal-title":"IEEE J. Sel Top Appl. Earth Observations Remote Sens."},{"issue":"4","key":"3727_CR50","doi-asserted-by":"publisher","first-page":"382","DOI":"10.3390\/rs11040382","volume":"11","author":"L Zhang","year":"2019","unstructured":"Zhang, L., Peng, Z.: Infrared small target detection based on partial sum of the tensor nuclear norm. Remote Sens. 11(4), 382 (2019)","journal-title":"Remote Sens."},{"issue":"7","key":"3727_CR51","first-page":"8","volume":"1","author":"Y Sun","year":"2020","unstructured":"Sun, Y., Yang, J., An, W.: Infrared dim and small target detection via multiple subspace learning and spatial-temporal patch-tensor model. IEEE Trans. Geosci. Remote Sens. 1(7), 8 (2020)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"3727_CR52","doi-asserted-by":"crossref","unstructured":"H. Wang, L. Zhou, and L. Wang, \u201cMiss detection vs. false alarm: Adversarial learning for small object segmentation in infrared images,\u201d In Proceedings of the IEEE\/CVF International Conference on Computer Vision 8509\u20138518 (2019)","DOI":"10.1109\/ICCV.2019.00860"},{"key":"3727_CR53","doi-asserted-by":"crossref","unstructured":"Y. Dai, Y. Wu, F. Zhou, and K. Barnard, \u201cAsymmetric contextual modulation for infrared small target detection,\u201d In Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 950\u2013959 (2021)","DOI":"10.1109\/WACV48630.2021.00099"},{"key":"3727_CR54","doi-asserted-by":"publisher","first-page":"1745","DOI":"10.1109\/TIP.2022.3199107","volume":"32","author":"B Li","year":"2022","unstructured":"Li, B., Xiao, C., Wang, L., et al.: Dense nested attention network for infrared small target detection[J]. IEEE Trans. Image Process. 32, 1745\u20131758 (2022)","journal-title":"IEEE Trans. Image Process."},{"key":"3727_CR55","first-page":"1","volume":"60","author":"K Wang","year":"2022","unstructured":"Wang, K., Du, S., Liu, C., et al.: Interior attention-aware network for infrared small target detection[J]. IEEE Trans. Geosci. Remote Sens. 60, 1\u201313 (2022)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"3727_CR56","unstructured":"Zhang T, Cao S, Pu T, et al. AGPCNet: Attention-guided pyramid context networks for infrared small target detection[J]. arXiv preprint arXiv:2111.03580, (2021)"},{"issue":"1","key":"3727_CR57","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1109\/TGRS.2013.2242477","volume":"52","author":"CP Chen","year":"2013","unstructured":"Chen, C.P., Li, H., Wei, Y., Xia, T., Tang, Y.Y.: A local contrast method for small infrared target detection. IEEE Trans. Geosci. Remote Sens. 52(1), 574\u2013581 (2013)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"3727_CR58","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.patcog.2016.04.002","volume":"58","author":"Y Wei","year":"2016","unstructured":"Wei, Y., You, X., Li, H.: Multiscale patch-based contrast measure for small infrared target detection. Pattern Recogn. 58, 216\u2013226 (2016)","journal-title":"Pattern Recogn."},{"issue":"11","key":"3727_CR59","doi-asserted-by":"publisher","first-page":"1821","DOI":"10.3390\/rs10111821","volume":"10","author":"L Zhang","year":"2018","unstructured":"Zhang, L., Peng, L., Zhang, T., Cao, S., Peng, Z.: Infrared small target detection via non-convex rank approximation minimization joint l2, 1 norm. Remote Sens. 10(11), 1821 (2018)","journal-title":"Remote Sens."},{"key":"3727_CR60","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1016\/j.neucom.2020.08.065","volume":"420","author":"T Zhang","year":"2021","unstructured":"Zhang, T., Peng, Z., Wu, H., He, Y., Li, C., Yang, C.: Infrared small target detection via self-regularized weighted sparse model. Neurocomputing 420, 124\u2013148 (2021)","journal-title":"Neurocomputing"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-024-03727-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-024-03727-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-024-03727-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:50:54Z","timestamp":1747385454000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-024-03727-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,8]]},"references-count":60,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["3727"],"URL":"https:\/\/doi.org\/10.1007\/s00371-024-03727-2","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"type":"print","value":"0178-2789"},{"type":"electronic","value":"1432-2315"}],"subject":[],"published":{"date-parts":[[2025,1,8]]},"assertion":[{"value":"9 November 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 January 2025","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 no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}