{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T06:43:42Z","timestamp":1773384222180,"version":"3.50.1"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100011789","name":"Jilin Provincial Department of Science and Technology","doi-asserted-by":"crossref","award":["No.20230203028SF"],"award-info":[{"award-number":["No.20230203028SF"]}],"id":[{"id":"10.13039\/501100011789","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100011789","name":"Jilin Provincial Department of Science and Technology","doi-asserted-by":"crossref","award":["No.20230203028SF"],"award-info":[{"award-number":["No.20230203028SF"]}],"id":[{"id":"10.13039\/501100011789","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100011789","name":"Jilin Provincial Department of Science and Technology","doi-asserted-by":"crossref","award":["No.20230203028SF"],"award-info":[{"award-number":["No.20230203028SF"]}],"id":[{"id":"10.13039\/501100011789","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100011789","name":"Jilin Provincial Department of Science and Technology","doi-asserted-by":"crossref","award":["No.20230203028SF"],"award-info":[{"award-number":["No.20230203028SF"]}],"id":[{"id":"10.13039\/501100011789","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100011789","name":"Jilin Provincial Department of Science and Technology","doi-asserted-by":"crossref","award":["No.20230203028SF"],"award-info":[{"award-number":["No.20230203028SF"]}],"id":[{"id":"10.13039\/501100011789","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100011789","name":"Jilin Provincial Department of Science and Technology","doi-asserted-by":"crossref","award":["No.20230203028SF"],"award-info":[{"award-number":["No.20230203028SF"]}],"id":[{"id":"10.13039\/501100011789","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1007\/s11760-024-03639-7","type":"journal-article","created":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:39:55Z","timestamp":1733272795000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Diffusion model for multi-scale ship object detection and recognition in remote sensing images"],"prefix":"10.1007","volume":"19","author":[{"given":"Lei","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuang","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinghe","family":"Guan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guandian","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,4]]},"reference":[{"issue":"8","key":"3639_CR1","doi-asserted-by":"publisher","first-page":"4435","DOI":"10.1109\/TGRS.2018.2820040","volume":"56","author":"J Ma","year":"2018","unstructured":"Ma, J., Jiang, J., Zhou, H., Zhao, J., Guo, X.: Guided locality preserving feature matching for remote sensing image registration. IEEE Trans. Geosci. Remote Sens. 56(8), 4435\u20134447 (2018)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"22","key":"3639_CR2","doi-asserted-by":"publisher","first-page":"2716","DOI":"10.3390\/rs11222716","volume":"11","author":"X Li","year":"2019","unstructured":"Li, X., Tang, Z., Chen, W., Wang, L.: Multimodal and multi-model deep fusion for fine classification of regional complex landscape areas using ziyuan-3 imagery. Remote Sens. 11(22), 2716 (2019)","journal-title":"Remote Sens."},{"issue":"15\u201316","key":"3639_CR3","doi-asserted-by":"publisher","first-page":"5709","DOI":"10.1080\/01431161.2021.1931544","volume":"43","author":"X Li","year":"2022","unstructured":"Li, X., Li, Z., Lv, S., Cao, J., Pan, M., Ma, Q., Yu, H.: Ship detection of optical remote sensing image in multiple scenes. Int. J. Remote Sens. 43(15\u201316), 5709\u20135737 (2022)","journal-title":"Int. J. Remote Sens."},{"issue":"6","key":"3639_CR4","doi-asserted-by":"publisher","first-page":"1264","DOI":"10.1002\/widm.1264","volume":"8","author":"Y Li","year":"2018","unstructured":"Li, Y., Zhang, H., Xue, X., Jiang, Y., Shen, Q.: Deep learning for remote sensing image classification: a survey. Wiley Interdiscip. Rev. Data Min. Knowl. Disc. 8(6), 1264 (2018)","journal-title":"Wiley Interdiscip. Rev. Data Min. Knowl. Disc."},{"key":"3639_CR5","first-page":"1","volume":"60","author":"Z Ren","year":"2022","unstructured":"Ren, Z., Tang, Y., He, Z., Tian, L., Yang, Y., Zhang, W.: Ship detection in high-resolution optical remote sensing images aided by saliency information. IEEE Trans. Geosci. Remote Sens. 60, 1\u201316 (2022)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"11","key":"3639_CR6","doi-asserted-by":"publisher","first-page":"4005","DOI":"10.1109\/JSTARS.2018.2873190","volume":"11","author":"F Wu","year":"2018","unstructured":"Wu, F., Zhou, Z., Wang, B., Ma, J.: Inshore ship detection based on convolutional neural network in optical satellite images. IEEE J. Select. Topics Appl. Earth Observ. Remote Sens. 11(11), 4005\u20134015 (2018)","journal-title":"IEEE J. Select. Topics Appl. Earth Observ. Remote Sens."},{"key":"3639_CR7","doi-asserted-by":"crossref","unstructured":"Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., Chen, L.-C.: Mobilenetv2: inverted residuals and linear bottlenecks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4510\u20134520 (2018)","DOI":"10.1109\/CVPR.2018.00474"},{"key":"3639_CR8","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1016\/j.patcog.2017.10.013","volume":"77","author":"J Gu","year":"2018","unstructured":"Gu, J., Wang, Z., Kuen, J., Ma, L., Shahroudy, A., Shuai, B., Liu, T., Wang, X., Wang, G., Cai, J.: Recent advances in convolutional neural networks. Pattern Recogn. 77, 354\u2013377 (2018)","journal-title":"Pattern Recogn."},{"key":"3639_CR9","doi-asserted-by":"crossref","unstructured":"He, Z.: Deep learning in image classification: a survey report. In: 2020 2nd International Conference on Information Technology and Computer Application (ITCA), pp. 174\u2013177 (2020). IEEE","DOI":"10.1109\/ITCA52113.2020.00043"},{"key":"3639_CR10","doi-asserted-by":"crossref","unstructured":"Nina, W., Condori, W., Machaca, V., Villegas, J., Castro, E.: Small ship detection on optical satellite imagery with yolo and yolt. In: Advances in Information and Communication: Proceedings of the 2020 Future of Information and Communication Conference (FICC), Volume 2, pp. 664\u2013677 (2020). Springer","DOI":"10.1007\/978-3-030-39442-4_49"},{"key":"3639_CR11","doi-asserted-by":"publisher","first-page":"423","DOI":"10.5194\/isprs-archives-XLI-B7-423-2016","volume":"41","author":"R Zhang","year":"2016","unstructured":"Zhang, R., Yao, J., Zhang, K., Feng, C., Zhang, J.: S-cnn-based ship detection from high-resolution remote sensing images. Int. Arch. Photogramm. Remote. Sens. Spat. Inf. Sci. 41, 423\u2013430 (2016)","journal-title":"Int. Arch. Photogramm. Remote. Sens. Spat. Inf. Sci."},{"issue":"9","key":"3639_CR12","doi-asserted-by":"publisher","first-page":"959","DOI":"10.3390\/electronics8090959","volume":"8","author":"L Qi","year":"2019","unstructured":"Qi, L., Li, B., Chen, L., Wang, W., Dong, L., Jia, X., Huang, J., Ge, C., Xue, G., Wang, D.: Ship target detection algorithm based on improved faster r-CNN. Electronics 8(9), 959 (2019)","journal-title":"Electronics"},{"issue":"6","key":"3639_CR13","first-page":"1184","volume":"46","author":"X Wang","year":"2020","unstructured":"Wang, X., Jiang, H., Lin, K.: Ship detection in remote sensing images based on improved yolo algorithm. J. Beijing Univ. Aeronaut. Astronaut. 46(6), 1184\u20131191 (2020)","journal-title":"J. Beijing Univ. Aeronaut. Astronaut."},{"issue":"8","key":"3639_CR14","first-page":"1698","volume":"42","author":"Y Xu","year":"2021","unstructured":"Xu, Y., Gu, Y., Peng, D., Liu, J., Chen, H.: An improved yolov3 model for arbitrary-oriented ship detection in sar image. Acta Armamentarii 42(8), 1698 (2021)","journal-title":"Acta Armamentarii"},{"key":"3639_CR15","doi-asserted-by":"publisher","first-page":"6083","DOI":"10.1109\/JSTARS.2021.3087555","volume":"14","author":"Z Hong","year":"2021","unstructured":"Hong, Z., Yang, T., Tong, X., Zhang, Y., Jiang, S., Zhou, R., Han, Y., Wang, J., Yang, S., Liu, S.: Multi-scale ship detection from sar and optical imagery via a more accurate yolov3. IEEE J. Select. Topics Appl. Earth Observ. Remote Sens. 14, 6083\u20136101 (2021)","journal-title":"IEEE J. Select. Topics Appl. Earth Observ. Remote Sens."},{"issue":"3","key":"3639_CR16","first-page":"923","volume":"43","author":"J Li","year":"2023","unstructured":"Li, J., Zhang, D., Fan, Y., Yang, J.: Lightweight ship target detection algorithm based on improved yolov5. J. Comput. Appl. 43(3), 923 (2023)","journal-title":"J. Comput. Appl."},{"issue":"8","key":"3639_CR17","doi-asserted-by":"publisher","first-page":"2071","DOI":"10.3390\/rs15082071","volume":"15","author":"Z Chen","year":"2023","unstructured":"Chen, Z., Liu, C., Filaretov, V.F., Yukhimets, D.A.: Multi-scale ship detection algorithm based on yolov7 for complex scene sar images. Remote Sens. 15(8), 2071 (2023)","journal-title":"Remote Sens."},{"key":"3639_CR18","first-page":"6840","volume":"33","author":"J Ho","year":"2020","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Adv. Neural. Inf. Process. Syst. 33, 6840\u20136851 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"4","key":"3639_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3626235","volume":"56","author":"L Yang","year":"2023","unstructured":"Yang, L., Zhang, Z., Song, Y., Hong, S., Xu, R., Zhao, Y., Zhang, W., Cui, B., Yang, M.-H.: Diffusion models: a comprehensive survey of methods and applications. ACM Comput. Surv. 56(4), 1\u201339 (2023)","journal-title":"ACM Comput. Surv."},{"key":"3639_CR20","unstructured":"Li, X., Ren, Y., Jin, X., Lan, C., Wang, X., Zeng, W., Wang, X., Chen, Z.: Diffusion models for image restoration and enhancement\u2013a comprehensive survey. arXiv preprint arXiv:2308.09388 (2023)"},{"key":"3639_CR21","doi-asserted-by":"crossref","unstructured":"Moser, B.B., Shanbhag, A.S., Raue, F., Frolov, S., Palacio, S., Dengel, A.: Diffusion models, image super-resolution and everything: A survey. arXiv preprint arXiv:2401.00736 (2024)","DOI":"10.1109\/TNNLS.2024.3476671"},{"key":"3639_CR22","unstructured":"Zhu, Y., Zhao, Y.: Diffusion models in nlp: A survey. arXiv preprint arXiv:2303.07576 (2023)"},{"key":"3639_CR23","unstructured":"Lovelace, J., Kishore, V., Wan, C., Shekhtman, E., Weinberger, K.Q.: Latent diffusion for language generation. Adv. Neural Inform. Process. Syst. 36 (2024)"},{"issue":"2","key":"3639_CR24","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1038\/s44222-023-00114-9","volume":"2","author":"Z Guo","year":"2024","unstructured":"Guo, Z., Liu, J., Wang, Y., Chen, M., Wang, D., Xu, D., Cheng, J.: Diffusion models in bioinformatics and computational biology. Nat. Rev. Bioeng. 2(2), 136\u2013154 (2024)","journal-title":"Nat. Rev. Bioeng."},{"key":"3639_CR25","doi-asserted-by":"crossref","unstructured":"Chen, S., Sun, P., Song, Y., Luo, P.: Diffusiondet: Diffusion model for object detection. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 19830\u201319843 (2023)","DOI":"10.1109\/ICCV51070.2023.01816"},{"key":"3639_CR26","doi-asserted-by":"crossref","unstructured":"Lin, T.-Y., Goyal, P., Girshick, R., He, K., Doll\u00e1r, P.: Focal loss for dense object detection. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2980\u20132988 (2017)","DOI":"10.1109\/ICCV.2017.324"},{"key":"3639_CR27","doi-asserted-by":"crossref","unstructured":"Rezatofighi, H., Tsoi, N., Gwak, J., Sadeghian, A., Reid, I., Savarese, S.: Generalized intersection over union: a metric and a loss for bounding box regression. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 658\u2013666 (2019)","DOI":"10.1109\/CVPR.2019.00075"},{"key":"3639_CR28","doi-asserted-by":"crossref","unstructured":"Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., Zagoruyko, S.: End-to-end object detection with transformers. In: European Conference on Computer Vision, pp. 213\u2013229 (2020). Springer","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"3639_CR29","doi-asserted-by":"crossref","unstructured":"Sun, P., Zhang, R., Jiang, Y., Kong, T., Xu, C., Zhan, W., Tomizuka, M., Li, L., Yuan, Z., Wang, C., : Sparse r-cnn: End-to-end object detection with learnable proposals. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 14454\u201314463 (2021)","DOI":"10.1109\/CVPR46437.2021.01422"},{"key":"3639_CR30","doi-asserted-by":"crossref","unstructured":"Liu, Z., Yuan, L., Weng, L., Yang, Y.: A high resolution optical satellite image dataset for ship recognition and some new baselines. In: International Conference on Pattern Recognition Applications and Methods, vol. 2, pp. 324\u2013331 (2017). SciTePress","DOI":"10.5220\/0006120603240331"},{"key":"3639_CR31","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: Towards real-time object detection with region proposal networks. Computer Vision and Pattern Recognition (2015). arXiv preprint arXiv:1506.01497"},{"key":"3639_CR32","doi-asserted-by":"crossref","unstructured":"Lin, T.-Y., Goyal, P., Girshick, R., He, K., Doll\u00e1r, P.: Focal loss for dense object detection. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2980\u20132988 (2017)","DOI":"10.1109\/ICCV.2017.324"},{"key":"3639_CR33","unstructured":"Redmon, J., Farhadi, A.: Yolov3: an incremental improvement. arXiv preprint arXiv:1804.02767 (2018)"},{"key":"3639_CR34","doi-asserted-by":"crossref","unstructured":"Wang, C.-Y., Bochkovskiy, A., Liao, H.-Y.M.: Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7464\u20137475 (2023)","DOI":"10.1109\/CVPR52729.2023.00721"},{"key":"3639_CR35","doi-asserted-by":"crossref","unstructured":"Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.-Y., Berg, A.C.: Ssd: single shot multibox detector. In: Computer Vision\u2013ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11\u201314, 2016, Proceedings, Part I 14, pp. 21\u201337 (2016). Springer","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"3639_CR36","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask r-cnn. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2961\u20132969 (2017)","DOI":"10.1109\/ICCV.2017.322"},{"issue":"4","key":"3639_CR37","doi-asserted-by":"publisher","first-page":"834","DOI":"10.1109\/TPAMI.2017.2699184","volume":"40","author":"L-C Chen","year":"2017","unstructured":"Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: Deeplab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE Trans. Pattern Anal. Mach. Intell. 40(4), 834\u2013848 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3639_CR38","doi-asserted-by":"crossref","unstructured":"Duan, K., Bai, S., Xie, L., Qi, H., Huang, Q., Tian, Q.: Centernet: keypoint triplets for object detection. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 6569\u20136578 (2019)","DOI":"10.1109\/ICCV.2019.00667"},{"key":"3639_CR39","doi-asserted-by":"crossref","unstructured":"Cai, Z., Vasconcelos, N.: Cascade r-cnn: Delving into high quality object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6154\u20136162 (2018)","DOI":"10.1109\/CVPR.2018.00644"},{"key":"3639_CR40","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1016\/j.isprsjprs.2019.11.023","volume":"159","author":"K Li","year":"2020","unstructured":"Li, K., Wan, G., Cheng, G., Meng, L., Han, J.: Object detection in optical remote sensing images: a survey and a new benchmarka. ISPRS J. Photogramm. Remote. Sens. 159, 296\u2013307 (2020)","journal-title":"ISPRS J. Photogramm. Remote. Sens."}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03639-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-024-03639-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03639-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T12:49:43Z","timestamp":1738068583000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-024-03639-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,4]]},"references-count":40,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,1]]}},"alternative-id":["3639"],"URL":"https:\/\/doi.org\/10.1007\/s11760-024-03639-7","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-4534180\/v1","asserted-by":"object"}]},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,4]]},"assertion":[{"value":"5 June 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 September 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 October 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 December 2024","order":4,"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 Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"52"}}