{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:52:09Z","timestamp":1740099129408,"version":"3.37.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319975887"},{"type":"electronic","value":"9783319975894"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-97589-4_29","type":"book-chapter","created":{"date-parts":[[2018,8,2]],"date-time":"2018-08-02T22:58:12Z","timestamp":1533250692000},"page":"346-356","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Sea Surface Object Recognition Under the Low-Light Environment"],"prefix":"10.1007","author":[{"given":"Zihan","family":"Yue","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wu","family":"Lv","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shihao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Geng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,4]]},"reference":[{"issue":"11","key":"29_CR1","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y Lecun","year":"1998","unstructured":"Lecun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"29_CR2","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097\u20131105 (2012)"},{"key":"29_CR3","unstructured":"Lin, M., Chen, Q., Yan, S.: Network in network. Computer Science (2013)"},{"key":"29_CR4","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"29_CR5","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"29_CR6","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"29_CR7","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Weinberger, K.Q., van der Maaten, L.: Densely connected convolutional networks. arXiv preprint arXiv:1608.06993 (2016)","DOI":"10.1109\/CVPR.2017.243"},{"issue":"7","key":"29_CR8","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1109\/83.597272","volume":"6","author":"DJ Jobson","year":"1997","unstructured":"Jobson, D.J., Rahman, Z.-U., Woodell, G.A.: A multiscale retinex for bridging the gap between color images and the human observation of scenes. IEEE Trans. Image Process. 6(7), 965\u2013976 (1997)","journal-title":"IEEE Trans. Image Process."},{"key":"29_CR9","doi-asserted-by":"publisher","first-page":"71","DOI":"10.5201\/ipol.2014.107","volume":"4","author":"AB Petro","year":"2014","unstructured":"Petro, A.B., Sbert, C., Morel, J.M.: Multiscale retinex. Image Process. Line 4, 71\u201388 (2014)","journal-title":"Image Process. Line"},{"key":"29_CR10","unstructured":"Provenzi, E., De Carli, L., Rizzi, A., Marini, D.: Mathematical definition and analysis of the retinex algorithm. J. Opt. Soc. Am. A Optics Image Sci. Vis. 22(12), 2613\u20132621 (2005)"},{"issue":"6088","key":"29_CR11","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1038\/323533a0","volume":"323","author":"DE Rumelhart","year":"1986","unstructured":"Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by back-propagating errors. Nature 323(6088), 533\u2013536 (1986)","journal-title":"Nature"},{"issue":"3","key":"29_CR12","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/S0734-189X(87)80186-X","volume":"39","author":"SM Pizer","year":"1987","unstructured":"Pizer, S.M., et al.: Adaptive histogram equalization and its variations. Comput. Vis. Graphics Image Process. 39(3), 355\u2013368 (1987)","journal-title":"Comput. Vis. Graphics Image Process."},{"issue":"12","key":"29_CR13","doi-asserted-by":"publisher","first-page":"3431","DOI":"10.1109\/TIP.2011.2157513","volume":"20","author":"T Celik","year":"2011","unstructured":"Celik, T., Tjahjadi, T.: Contextual and variational contrast enhancement. IEEE Trans. Image Process. 20(12), 3431\u20133441 (2011)","journal-title":"IEEE Trans. Image Process."},{"issue":"6","key":"29_CR14","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1038\/scientificamerican1277-108","volume":"237","author":"EH Land","year":"1977","unstructured":"Land, E.H.: The retinex theory of color vision. Sci. Am. 237(6), 108\u2013129 (1977)","journal-title":"Sci. Am."},{"issue":"3","key":"29_CR15","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1109\/83.557356","volume":"6","author":"DJ Jobson","year":"1997","unstructured":"Jobson, D.J., Rahman, Z.-U., Woodell, G.A.: Properties and performance of a center\/surround retinex. IEEE Trans. Image Process. 6(3), 451\u2013462 (1997)","journal-title":"IEEE Trans. Image Process."},{"key":"29_CR16","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: Advances in Neural Information Processing Systems, pp. 91\u201399 (2015)"},{"key":"29_CR17","doi-asserted-by":"crossref","unstructured":"Wang, L., Ouyang, W., Wang, X., Lu, H.: Visual tracking with fully convolutional networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 3119\u20133127 (2015)","DOI":"10.1109\/ICCV.2015.357"},{"key":"29_CR18","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3431\u20133440 (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"issue":"2","key":"29_CR19","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1109\/TPAMI.2015.2439281","volume":"38","author":"C Dong","year":"2016","unstructured":"Dong, C., Loy, C.C., He, K., Tang, X.: Image super-resolution using deep convolutional networks. IEEE Trans. Pattern Anal. Mach. Intell. 38(2), 295\u2013307 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"29_CR20","doi-asserted-by":"crossref","unstructured":"Fu, X., Huang, J., Zeng, D., Huang, Y., Ding, X., Paisley, J.: Removing rain from single images via a deep detail network. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1715\u20131723 (2017)","DOI":"10.1109\/CVPR.2017.186"},{"issue":"11","key":"29_CR21","doi-asserted-by":"publisher","first-page":"5187","DOI":"10.1109\/TIP.2016.2598681","volume":"25","author":"B Cai","year":"2016","unstructured":"Cai, B., Xiangmin, X., Jia, K., Qing, C., Tao, D.: DehazeNet: an end-to-end system for single image haze removal. IEEE Trans. Image Process. 25(11), 5187\u20135198 (2016)","journal-title":"IEEE Trans. Image Process."},{"key":"29_CR22","doi-asserted-by":"crossref","unstructured":"Chevalier, M., Thome, N., Cord, M., Fournier, J., Henaff, G., Dusch, E.: LR-CNN for fine-grained classification with varying resolution. In: 2015 IEEE International Conference on Image Processing (ICIP), pp. 3101\u20133105. IEEE (2015)","DOI":"10.1109\/ICIP.2015.7351374"},{"key":"29_CR23","doi-asserted-by":"crossref","unstructured":"Li, B., Peng, X., Wang, Z., Xu, J., Feng, D.: AOD-Net: all-in-one dehazing network. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 4770\u20134778 (2017)","DOI":"10.1109\/ICCV.2017.511"},{"key":"29_CR24","doi-asserted-by":"crossref","unstructured":"Liu, D., Wen, B., Liu, X., Huang, T.S.: When image denoising meets high-level vision tasks: A deep learning approach. arXiv preprint arXiv:1706.04284 (2017)","DOI":"10.24963\/ijcai.2018\/117"},{"key":"29_CR25","unstructured":"Vasiljevic, I., Chakrabarti, A., Shakhnarovich, G.: Examining the impact of blur on recognition by convolutional networks. arXiv preprint arXiv:1611.05760 (2016)"},{"key":"29_CR26","unstructured":"Diamond, S., Sitzmann, V., Boyd, S., Wetzstein, G., Heide, F.: Dirty pixels: optimizing image classification architectures for raw sensor data. arXiv preprint arXiv:1701.06487 (2017)"},{"key":"29_CR27","doi-asserted-by":"crossref","unstructured":"Nilsback, M.-E., Zisserman, A.: Automated flower classification over a large number of classes. In: Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing, December 2008","DOI":"10.1109\/ICVGIP.2008.47"},{"issue":"2","key":"29_CR28","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s11263-009-0275-4","volume":"88","author":"M Everingham","year":"2010","unstructured":"Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The pascal visual object classes (VOC) challenge. Int. J. Comput. Vis. 88(2), 303\u2013338 (2010)","journal-title":"Int. J. Comput. Vis."},{"key":"29_CR29","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. Computer Science (2014)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Robotics and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-97589-4_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,21]],"date-time":"2019-10-21T15:39:23Z","timestamp":1571672363000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-97589-4_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319975887","9783319975894"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-97589-4_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}