{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T08:02:27Z","timestamp":1784361747154,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":14,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819234288","type":"print"},{"value":"9789819234295","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-981-92-3429-5_21","type":"book-chapter","created":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T07:05:41Z","timestamp":1784358341000},"page":"250-261","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Collaborative Learning of Non-Euclidean and Spatial Domains for Remote Sensing Change Detection"],"prefix":"10.1007","author":[{"given":"Xu","family":"Lin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiawen","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,19]]},"reference":[{"issue":"4","key":"21_CR1","doi-asserted-by":"publisher","first-page":"369","DOI":"10.14358\/PERS.69.4.369","volume":"69","author":"J Chen","year":"2003","unstructured":"Chen, J., Gong, P., He, C., Pu, R., Shi, P.: Land-use\/land-cover change detection using improved change-vector analysis. Photogramm. Eng. Remote Sens. 69(4), 369\u2013379 (2003)","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"21_CR2","doi-asserted-by":"crossref","unstructured":"Sun, D., Sun, K., Qin, S., Tang, B., Meng, X.: Pgnet: A GNN-based method with mutual information minization for fine-grained remote sensing change detection. In: 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 4522\u20134527. IEEE (2024)","DOI":"10.1109\/SMC54092.2024.10830925"},{"key":"21_CR3","doi-asserted-by":"crossref","unstructured":"Zheng, W., et al.: Cross-temporal knowledge injection with color distribution normalization for remote sensing change detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. (2025)","DOI":"10.1109\/JSTARS.2025.3534583"},{"issue":"12","key":"21_CR4","doi-asserted-by":"publisher","first-page":"3288","DOI":"10.1117\/1.1518995","volume":"41","author":"F Melgani","year":"2002","unstructured":"Melgani, F., Moser, G., Serpico, S.B.: Unsupervised change-detection methods for remote-sensing images. Opt. Eng. 41(12), 3288\u20133297 (2002)","journal-title":"Opt. Eng."},{"key":"21_CR5","doi-asserted-by":"publisher","first-page":"4297","DOI":"10.1109\/JSTARS.2022.3177235","volume":"15","author":"M Liu","year":"2022","unstructured":"Liu, M., Chai, Z., Deng, H., Liu, R.: A CNN-transformer network with multiscale context aggregation for fine-grained cropland change detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 15, 4297\u20134306 (2022)","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"21_CR6","first-page":"1","volume":"19","author":"M Liu","year":"2022","unstructured":"Liu, M., Shi, Q., Chai, Z., Li, J.: Pa-former: learning prior-aware transformer for remote sensing building change detection. IEEE Geosci. Remote Sens. Lett. 19, 1\u20135 (2022)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"21_CR7","doi-asserted-by":"crossref","unstructured":"Zhao, Z., Ru, L., Wu, C., Wang, D.: Transwcd: scene-adaptive joint constrained framework for weakly-supervised change detection. IEEE Trans. Geosci. Remote Sens. (2025)","DOI":"10.1109\/TGRS.2025.3545051"},{"key":"21_CR8","first-page":"1","volume":"62","author":"M Noman","year":"2024","unstructured":"Noman, M., Fiaz, M., Cholakkal, H., Khan, S., Khan, F.S.: Elgc-net: efficient local\u2013global context aggregation for remote sensing change detection. IEEE Trans. Geosci. Remote Sens. 62, 1\u201311 (2024)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"21_CR9","doi-asserted-by":"crossref","unstructured":"Sun, D., Meng, X., Li, J., Zhang, B., Feng, W.: Gfmnet: a frequency-aware feature fusion network for remote sensing change detection. IEEE Geosci. Remote Sens. Lett. (2025)","DOI":"10.1109\/LGRS.2025.3581725"},{"key":"21_CR10","doi-asserted-by":"publisher","first-page":"8291","DOI":"10.52202\/068431-0603","volume":"35","author":"K Han","year":"2022","unstructured":"Han, K., Wang, Y., Guo, J., Tang, Y., Wu, E.: Vision GNN: an image is worth graph of nodes. Adv. Neural Inf. Proces. Syst. 35, 8291\u20138303 (2022)","journal-title":"Adv. Neural Inf. Proces. Syst."},{"key":"21_CR11","doi-asserted-by":"crossref","unstructured":"Yang, B., Chen, J., Ye, M.: Shallow-deep collaborative learning for unsupervised visible-infrared person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16870\u201316879 (2024)","DOI":"10.1109\/CVPR52733.2024.01596"},{"issue":"7","key":"21_CR12","doi-asserted-by":"publisher","first-page":"5891","DOI":"10.1109\/TGRS.2020.3011913","volume":"59","author":"D Peng","year":"2020","unstructured":"Peng, D., Bruzzone, L., Zhang, Y., Guan, H., Ding, H., Huang, X.: Semicdnet: a semisupervised convolutional neural network for change detection in high resolution remote-sensing images. IEEE Trans. Geosci. Remote Sens. 59(7), 5891\u20135906 (2020)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"10","key":"21_CR13","doi-asserted-by":"publisher","first-page":"1662","DOI":"10.3390\/rs12101662","volume":"12","author":"H Chen","year":"2020","unstructured":"Chen, H., Shi, Z.: A spatial-temporal attention-based method and a new dataset for remote sensing image change detection. Remote Sens. 12(10), 1662 (2020)","journal-title":"Remote Sens."},{"issue":"1","key":"21_CR14","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1109\/TGRS.2018.2858817","volume":"57","author":"S Ji","year":"2018","unstructured":"Ji, S., Wei, S., Lu, M.: Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set. IEEE Trans. Geosci. Remote Sens. 57(1), 574\u2013586 (2018)","journal-title":"IEEE Trans. Geosci. Remote Sens."}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-3429-5_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T07:05:43Z","timestamp":1784358343000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-3429-5_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,19]]},"ISBN":["9789819234288","9789819234295"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-3429-5_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,19]]},"assertion":[{"value":"19 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Toronto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2026a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2026\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}