{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T09:33:03Z","timestamp":1751275983033,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T00:00:00Z","timestamp":1723161600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,8,9]]},"DOI":"10.1145\/3697467.3697646","type":"proceedings-article","created":{"date-parts":[[2024,11,8]],"date-time":"2024-11-08T21:31:52Z","timestamp":1731101512000},"page":"222-228","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["A Remote Sensing Image Classification Based on Contrast Learning with Similarity Fusion"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-7933-7080","authenticated-orcid":false,"given":"Yan","family":"Zeng","sequence":"first","affiliation":[{"name":"School of Software, Nanchang Hangkong University, Nanchang, Jiangxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-6213-6613","authenticated-orcid":false,"given":"Hongmei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Art Media and Computer, Jiangxi Tourism and Trade Vocational College, Nanchang, Jiangxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-7814-217X","authenticated-orcid":false,"given":"Sijia","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Software, Nanchang Hangkong University, Nanchang, Jiangxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2693-965X","authenticated-orcid":false,"given":"Yun","family":"Ge","sequence":"additional","affiliation":[{"name":"School of Software, Nanchang Hangkong University, Nanchang, Jiangxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,11,8]]},"reference":[{"issue":"05","key":"e_1_3_3_1_1_2","first-page":"145","article-title":"Re-calibrated feature fusion for adversarial domain adaptation in remote sensing image scene classification[J]","volume":"37","author":"Chen D","year":"2020","unstructured":"Chen D, Pan W, Ding B, et al. Re-calibrated feature fusion for adversarial domain adaptation in remote sensing image scene classification[J]. Computer Applications and Software, 2020, 37(05): 145-150.","journal-title":"Computer Applications and Software"},{"key":"e_1_3_3_1_2_2","volume-title":"Sequential minimal optimization: A fast algorithm for training support vector machines[J]","author":"Platt J.","year":"1998","unstructured":"Platt J. Sequential minimal optimization: A fast algorithm for training support vector machines[J]. 1998."},{"key":"e_1_3_3_1_3_2","first-page":"770","article-title":"Deep residual learning for image recognition[J]","volume":"2016","author":"Kaiming H","unstructured":"Kaiming H, Xiangyu Z, Shaoqing R. Deep residual learning for image recognition[J]. Computer Vision and Pattern Recognition, 2016: 770-778.","journal-title":"Computer Vision and Pattern Recognition"},{"key":"e_1_3_3_1_4_2","first-page":"2672","article-title":"Generative adversarial nets[C]","volume":"2014","author":"Goodfellow I","unstructured":"Goodfellow I, Pouget-abadie J, Mirza M, et al. Generative adversarial nets[C]. Neural Information Processing Systems, 2014: 2672-2680.","journal-title":"Neural Information Processing Systems"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2752750"},{"issue":"8","key":"e_1_3_3_1_6_2","first-page":"1122","article-title":"Remote sensing image intelligent interpretation: from unsupervised learning to self-supervised learning[J]","volume":"50","author":"Tao C","year":"2021","unstructured":"Tao C, Ziwei Y, Qing Z. Remote sensing image intelligent interpretation: from unsupervised learning to self-supervised learning[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(8): 1122-1134.","journal-title":"Acta Geodaetica et Cartographica Sinica"},{"key":"e_1_3_3_1_7_2","first-page":"1","article-title":"Attention-based Contrastive learning for few-shot remote sensing image classification[J]","volume":"62","author":"Xu Y","year":"2024","unstructured":"Xu Y, Bi H, Yu H, et al. Attention-based Contrastive learning for few-shot remote sensing image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-17.","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"e_1_3_3_1_8_2","first-page":"1","article-title":"Multiform ensemble self-supervised learning for few-shot remote sensing scene classification[J]","volume":"61","author":"Li J","year":"2023","unstructured":"Li J, Gong M, Liu H, et al. Multiform ensemble self-supervised learning for few-shot remote sensing scene classification[J]. Geoscience and Remote Sensing, 2023, 61: 1-16.","journal-title":"Geoscience and Remote Sensing"},{"key":"e_1_3_3_1_9_2","first-page":"1","article-title":"Hyperspectral image classification with contrastive self-supervised learning under limited labeled samples[J]","volume":"19","author":"Zhao L","year":"2022","unstructured":"Zhao L, Luo W, Liao Q, et al. Hyperspectral image classification with contrastive self-supervised learning under limited labeled samples[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5.","journal-title":"IEEE Geoscience and Remote Sensing Letters"},{"volume-title":"International Conference on Machine Learning","author":"Chen T","key":"e_1_3_3_1_10_2","unstructured":"Chen T, Kornblith S, Norouzi M, et al. A simple framework for contrastive learning of visual representations[C]. International Conference on Machine Learning, 2020: 1597-1607."},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TGRS.2024.3371481","article-title":"SwiMDiff: scene-wide matching contrastive learning with diffusion constraint for remote sensing image[C]","volume":"62","author":"Tian J.","year":"2024","unstructured":"J. Tian, J. Lei, J. Zhang, et al. SwiMDiff: scene-wide matching contrastive learning with diffusion constraint for remote sensing image[C]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-13.","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"e_1_3_3_1_12_2","first-page":"260","article-title":"Contrastive learning with part assignment for fine-grained ship image recognition[C]","volume":"2023","author":"Zhang Z","unstructured":"Zhang Z, Zhang T, Liu Z, et al. Contrastive learning with part assignment for fine-grained ship image recognition[C]. Machine Vision and Intelligent Algorithms, 2023: 260-265.","journal-title":"Machine Vision and Intelligent Algorithms"},{"key":"e_1_3_3_1_13_2","first-page":"382","article-title":"Cosine normalization: using cosine similarity instead of dot product in neural networks[C]","volume":"2018","author":"Luo C","unstructured":"Luo C, Zhan J, Xue X, et al. Cosine normalization: using cosine similarity instead of dot product in neural networks[C]. Artificial Neural Networks and Machine Learning, 2018: 382-391.","journal-title":"Artificial Neural Networks and Machine Learning"},{"key":"e_1_3_3_1_14_2","first-page":"307","article-title":"Noise contrastive estimation of unnormalized statistical models with applications to natural image statistics[J]","volume":"13","author":"Gutmann M U","year":"2012","unstructured":"Gutmann M U, Hyv\u00e4rinen A. Noise contrastive estimation of unnormalized statistical models with applications to natural image statistics[J]. Machine Learning Research, 2012, 13: 307-361. https:\/\/dl.acm.org\/doi\/10.5555\/2503308.2188396","journal-title":"Machine Learning Research"},{"key":"e_1_3_3_1_15_2","first-page":"986","article-title":"Boosting contrastive self-supervised learning with false negative cancellation[C]","volume":"2022","author":"Huynh T","unstructured":"Huynh T, Kornblith S, Walter M R, et al. Boosting contrastive self-supervised learning with false negative cancellation[C]. Applications of Computer Vision, 2022: 986-996.","journal-title":"Applications of Computer Vision"},{"key":"e_1_3_3_1_16_2","first-page":"668","article-title":"Decoupled contrastive learning[C]","volume":"2022","author":"Yeh C H","unstructured":"Yeh C H, Hong C Y, Hsu Y C, et al. Decoupled contrastive learning[C]. Computer Vision, 2022: 668-684.","journal-title":"Computer Vision"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2513898"},{"key":"e_1_3_3_1_18_2","first-page":"426","article-title":"Unsupervised contrastive masking for visual haze classification[C]","volume":"2022","author":"Li J","unstructured":"Li J, Ma H, Li X, et al. Unsupervised contrastive masking for visual haze classification[C]. Multimedia Retrieval, 2022: 426-434.","journal-title":"Multimedia Retrieval"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2023.3339336"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3268232"},{"key":"e_1_3_3_1_21_2","first-page":"1","article-title":"Contrastive learning based on multiscale hard features for remote-sensing image scene classification[J]","volume":"61","author":"Li Z","year":"2023","unstructured":"Li Z, Hou B, Guo X, et al. Contrastive learning based on multiscale hard features for remote-sensing image scene classification[J]. Geoscience and Remote Sensing, 2023, 61: 1-13.","journal-title":"Geoscience and Remote Sensing"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2937830"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1049\/ipr2.12641"}],"event":{"name":"IoTML 2024: 2024 4th International Conference on Internet of Things and Machine Learning","acronym":"IoTML 2024","location":"Nanchang China"},"container-title":["Proceedings of the 2024 4th  International Conference on Internet of Things and Machine Learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3697467.3697646","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3697467.3697646","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:17:30Z","timestamp":1750295850000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3697467.3697646"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,9]]},"references-count":23,"alternative-id":["10.1145\/3697467.3697646","10.1145\/3697467"],"URL":"https:\/\/doi.org\/10.1145\/3697467.3697646","relation":{},"subject":[],"published":{"date-parts":[[2024,8,9]]},"assertion":[{"value":"2024-11-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}