{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T10:28:19Z","timestamp":1758191299880,"version":"3.44.0"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"31","license":[{"start":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T00:00:00Z","timestamp":1723507200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T00:00:00Z","timestamp":1723507200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100018693","name":"HORIZON EUROPE","doi-asserted-by":"crossref","award":["01079136"],"award-info":[{"award-number":["01079136"]}],"id":[{"id":"10.13039\/100018693","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>The automatic annotation of changes in satellite images requires examples of appropriate annotations. Alternatively, keyphrases extracted from a specialized corpus can serve as candidates for image annotation models. In the case of detecting deforestation in satellite images, there is a rich scientific literature available on the topic that may serve as a corpus for finding candidate annotations. We propose a method that utilizes a deep learning technique for change detection and visual semantic embedding. This method is combined with an information retrieval framework to find annotations for pairs of satellite images showing forest changes. Our evaluation is based on a dataset of image pairs from the Amazon rainforest and shows that keyphrases provide richer semantic information without any negative impact on the annotation compared to annotating with single words.<\/jats:p>","DOI":"10.1007\/s11042-024-20015-2","type":"journal-article","created":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T02:02:35Z","timestamp":1723514555000},"page":"37637-37653","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Enriching satellite image annotations of forests with keyphrases from a specialized corpus"],"prefix":"10.1007","volume":"84","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-5905-0707","authenticated-orcid":false,"given":"Nathalie","family":"Neptune","sequence":"first","affiliation":[]},{"given":"Josiane","family":"Mothe","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,13]]},"reference":[{"unstructured":"Radford A, Kim JW, Hallacy C, Ramesh A, Goh G, Agarwal S, Sastry G, Askell A, Mishkin P, Clark J, et al. (2021) Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning, pp 8748\u20138763 . PMLR","key":"20015_CR1"},{"issue":"4","key":"20015_CR2","doi-asserted-by":"publisher","first-page":"1110","DOI":"10.3390\/s21041110","volume":"21","author":"N Neptune","year":"2021","unstructured":"Neptune N, Mothe J (2021) Automatic annotation of change detection images. Sensors. 21(4):1110","journal-title":"Sensors."},{"doi-asserted-by":"crossref","unstructured":"Bouyerbou H, Bechkoum K, Benblidia N, Lepage R (2014) Ontology-based semantic classification of satellite images: Case of major disasters. In: 2014 IEEE Geoscience and Remote Sensing Symposium, pp 2347\u20132350 . IEEE","key":"20015_CR3","DOI":"10.1109\/IGARSS.2014.6946942"},{"key":"20015_CR4","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1016\/j.ijdrr.2018.11.021","volume":"34","author":"H Bouyerbou","year":"2019","unstructured":"Bouyerbou H, Bechkoum K, Lepage R (2019) Geographic ontology for major disasters: methodology and implementation. Int J Disaster Risk Reduction 34:232\u2013242","journal-title":"Int J Disaster Risk Reduction"},{"doi-asserted-by":"crossref","unstructured":"Uzkent B, Sheehan E, Meng C, Tang Z, Burke M, Lobell D, Ermon S (2019) Learning to interpret satellite images in global scale using wikipedia. arXiv:1905.02506.","key":"20015_CR5","DOI":"10.24963\/ijcai.2019\/502"},{"issue":"4","key":"20015_CR6","doi-asserted-by":"publisher","first-page":"2183","DOI":"10.1109\/TGRS.2017.2776321","volume":"56","author":"X Lu","year":"2017","unstructured":"Lu X, Wang B, Zheng X, Li X (2017) Exploring models and data for remote sensing image caption generation. IEEE Trans Geosci Remote Sens 56(4):2183\u20132195","journal-title":"IEEE Trans Geosci Remote Sens"},{"doi-asserted-by":"crossref","unstructured":"Daudt RC, Le\u00a0Saux B, Boulch A (2018) Fully convolutional siamese networks for change detection. In: 2018 25th IEEE International Conference on Image Processing (ICIP), pp 4063\u20134067 . IEEE","key":"20015_CR7","DOI":"10.1109\/ICIP.2018.8451652"},{"doi-asserted-by":"crossref","unstructured":"Daudt RC, Le Saux B, Boulch A, Gousseau Y (2019) Multitask learning for large-scale semantic change detection. Comp Vision Image Understand 187","key":"20015_CR8","DOI":"10.1016\/j.cviu.2019.07.003"},{"issue":"11","key":"20015_CR9","doi-asserted-by":"publisher","first-page":"1382","DOI":"10.3390\/rs11111382","volume":"11","author":"D Peng","year":"2019","unstructured":"Peng D, Zhang Y, Guan H (2019) End-to-end change detection for high resolution satellite images using improved unet++. Remote Sensing 11(11):1382","journal-title":"Remote Sensing"},{"issue":"6","key":"20015_CR10","doi-asserted-by":"publisher","first-page":"901","DOI":"10.3390\/rs12060901","volume":"12","author":"PP Bem","year":"2020","unstructured":"Bem PP, Carvalho Junior OA, Fontes Guimar\u00e3es R, Trancoso Gomes RA (2020) Change detection of deforestation in the brazilian amazon using landsat data and convolutional neural networks. Remote Sensing 12(6):901","journal-title":"Remote Sensing"},{"unstructured":"Neptune N (2022) Bibliometrics, change detection and multimodal learning on earth observation data: The case of deforestation. PhD thesis, Universit\u00e9 Paul Sabatier-Toulouse III","key":"20015_CR11"},{"doi-asserted-by":"crossref","unstructured":"Neptune N, Mothe J (2023) Annotating satellite images of forests with keywords from a specialized corpus in the context of change detection. In: Proceedings of the 20th International Conference on Content-based Multimedia Indexing, pp 14\u201320","key":"20015_CR12","DOI":"10.1145\/3617233.3617242"},{"doi-asserted-by":"publisher","unstructured":"Schopf T, Klimek S, Matthes F (2022) Patternrank: Leveraging pretrained language models and part of speech for unsupervised keyphrase extraction. In: Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KDIR, pp 243\u2013248 https:\/\/doi.org\/10.5220\/0011546600003335 . INSTICC","key":"20015_CR13","DOI":"10.5220\/0011546600003335"},{"doi-asserted-by":"crossref","unstructured":"Reimers N, Gurevych I (2019) Sentence-bert: Sentence embeddings using siamese bert-networks. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp 3982\u20133992","key":"20015_CR14","DOI":"10.18653\/v1\/D19-1410"},{"key":"20015_CR15","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1162\/tacl_a_00051","volume":"5","author":"P Bojanowski","year":"2017","unstructured":"Bojanowski P, Grave E, Joulin A, Mikolov T (2017) Enriching word vectors with subword information. Trans Associate Comput Linguistics 5:135\u2013146","journal-title":"Trans Associate Comput Linguistics"},{"doi-asserted-by":"crossref","unstructured":"Wan X, Xiao J (2008) Collabrank: towards a collaborative approach to single-document keyphrase extraction. In: Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008), pp 969\u2013976","key":"20015_CR16","DOI":"10.3115\/1599081.1599203"},{"key":"20015_CR17","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.ins.2019.09.013","volume":"509","author":"R Campos","year":"2020","unstructured":"Campos R, Mangaravite V, Pasquali A, Jorge A, Nunes C, Jatowt A (2020) Yake! keyword extraction from single documents using multiple local features. Information Sciences 509:257\u2013289","journal-title":"Information Sciences"},{"unstructured":"Grootendorst M (2020) Keybert: Minimal keyword extraction with bert. Zenodo","key":"20015_CR18"},{"doi-asserted-by":"crossref","unstructured":"Hulth A (2003) Improved automatic keyword extraction given more linguistic knowledge. In: Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing, pp 216\u2013223","key":"20015_CR19","DOI":"10.3115\/1119355.1119383"},{"unstructured":"Mikolov T, Sutskever I, Chen K, Corrado GS, Dean J (2013) Distributed representations of words and phrases and their compositionality. Adv Neural Inf Process Syst 26","key":"20015_CR20"},{"doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 770\u2013778","key":"20015_CR21","DOI":"10.1109\/CVPR.2016.90"},{"unstructured":"Frome A, Corrado GS, Shlens J, Bengio S, Dean J, Ranzato M, Mikolov T (2013) Devise: A deep visual-semantic embedding model. In: Advances in Neural Information Processing Systems, pp 2121\u20132129","key":"20015_CR22"},{"issue":"2","key":"20015_CR23","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1109\/TPAMI.2018.2797921","volume":"41","author":"L Wang","year":"2018","unstructured":"Wang L, Li Y, Huang J, Lazebnik S (2018) Learning two-branch neural networks for image-text matching tasks. IEEE Trans Pattern Anal Machine Intell 41(2):394\u2013407","journal-title":"IEEE Trans Pattern Anal Machine Intell"},{"key":"20015_CR24","volume-title":"Kalil Mello","author":"YE Shimabukuro","year":"2000","unstructured":"Shimabukuro YE, Duarte V (2000) Kalil Mello. Presentation of the Methodology for Creating the Digital PRODES, EM, Moreira, JC"},{"unstructured":"Akinyemi J, Mothe J, Neptune N (2018) Fouille de publications scientifiques pour une analyse bibliom\u00e9trique de l\u2019activit\u00e9 de recherche sur la d\u00e9forestation. In: EGC-Atelier Fouille du Web, pp 11\u201323","key":"20015_CR25"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-20015-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-024-20015-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-20015-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T09:46:56Z","timestamp":1758102416000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-024-20015-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,13]]},"references-count":25,"journal-issue":{"issue":"31","published-online":{"date-parts":[[2025,9]]}},"alternative-id":["20015"],"URL":"https:\/\/doi.org\/10.1007\/s11042-024-20015-2","relation":{},"ISSN":["1573-7721"],"issn-type":[{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2024,8,13]]},"assertion":[{"value":"19 December 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 June 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 August 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 August 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 Statement"}}]}}