{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T17:35:46Z","timestamp":1770053746772,"version":"3.49.0"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032113573","type":"print"},{"value":"9783032113580","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-11358-0_25","type":"book-chapter","created":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T07:04:10Z","timestamp":1770015850000},"page":"302-312","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Deep Learning for Space Situational Awareness: Addressing Kessler Syndrome with Efficient Spacecraft Detection a Preliminary Result"],"prefix":"10.1007","author":[{"given":"Jorge Felix","family":"Mart\u00ednez Pazos","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jorge","family":"Gul\u00edn-Gonz\u00e1lez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,3]]},"reference":[{"key":"25_CR1","doi-asserted-by":"publisher","DOI":"10.3389\/frspt.2023.1309940","author":"A Mariappan","year":"2023","unstructured":"Mariappan, A., Crassidis, J.: Kessler\u2019s syndrome: a challenge to humanity. Front. Space Technol. (2023). https:\/\/doi.org\/10.3389\/frspt.2023.1309940","journal-title":"Front. Space Technol."},{"key":"25_CR2","unstructured":"NASA Orbital\u00a0Debris\u00a0Program\u00a0Office. LEGEND:\u00a03D\/OD\u00a0Evolutionary\u00a0Model. NASA. https:\/\/orbitaldebris.jsc.nasa.gov\/modeling\/legend.html. Retrieved July of 2025"},{"key":"25_CR3","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1109\/LGRS.2013.2263332","volume":"11","author":"J Tian","year":"2014","unstructured":"Tian, J., Cui, W., Wu, S.: A novel method for parameter estimation of space moving targets. IEEE Geosci. Remote Sens. Lett. 11, 389\u2013393 (2014). https:\/\/doi.org\/10.1109\/LGRS.2013.2263332","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"25_CR4","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevD.106.044034","author":"J Feng","year":"2022","unstructured":"Feng, J., Hejda, F., Carloni, S.: Relativistic location algorithm in curved spacetime. Physical Review D (2022). https:\/\/doi.org\/10.1103\/PhysRevD.106.044034","journal-title":"Physical Review D"},{"key":"25_CR5","doi-asserted-by":"publisher","first-page":"7062","DOI":"10.1109\/JSTARS.2023.3287154","volume":"16","author":"S Rainjonneau","year":"2023","unstructured":"Rainjonneau, S., et al.: Quantum algorithms applied to satellite mission planning for earth observation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16, 7062\u20137075 (2023). https:\/\/doi.org\/10.1109\/JSTARS.2023.3287154","journal-title":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"},{"key":"25_CR6","doi-asserted-by":"publisher","DOI":"10.2514\/1.g007926","author":"E Andreis","year":"2024","unstructured":"Andreis, E., Panicucci, P., Topputo, F.: Autonomous vision-based algorithm for interplanetary navigation. J. Guid. Control. Dyn. (2024). https:\/\/doi.org\/10.2514\/1.g007926","journal-title":"J. Guid. Control. Dyn."},{"key":"25_CR7","doi-asserted-by":"publisher","unstructured":"Dung, H.A., Chen, B., Chin, T.-J.: A spacecraft dataset for detection, segmentation and parts recognition. Computer Vision and Pattern Recognition, 2012\u20132019 (2021). https:\/\/doi.org\/10.1109\/CVPRW53098.2021.00229","DOI":"10.1109\/CVPRW53098.2021.00229"},{"key":"25_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/J.SPACEPOL.2018.03.003","author":"J Drmola","year":"2018","unstructured":"Drmola, J., Hub\u00edk, T.: Kessler syndrome: system dynamics model. Space Policy (2018). https:\/\/doi.org\/10.1016\/J.SPACEPOL.2018.03.003","journal-title":"Space Policy"},{"key":"25_CR9","doi-asserted-by":"publisher","unstructured":"Bernat, P.: Orbital satellite constellations and the growing threat of Kessler syndrome in the lower earth orbit (2020). https:\/\/doi.org\/10.37105\/iboa.94","DOI":"10.37105\/iboa.94"},{"key":"25_CR10","doi-asserted-by":"publisher","unstructured":"Hudson, J.: KESSYM: a stochastic orbital debris model for evaluation of Kessler Syndrome risks and mitigations. Journal of Student Research (2023). https:\/\/doi.org\/10.47611\/jsrhs.v12i1.4013","DOI":"10.47611\/jsrhs.v12i1.4013"},{"key":"25_CR11","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/J.ACTAASTRO.2012.11.009","volume":"85","author":"C Bonnal","year":"2013","unstructured":"Bonnal, C., Ruault, J., Desjean, M.: Active debris removal: Recent progress and current trends. Acta Astronaut. 85, 51\u201360 (2013). https:\/\/doi.org\/10.1016\/J.ACTAASTRO.2012.11.009","journal-title":"Acta Astronaut."},{"key":"25_CR12","doi-asserted-by":"publisher","unstructured":"Roll, D., Kurt, Z., Woo, W.: CosmosDSR - a methodology for automated detection and tracking of orbital debris using the Unscented Kalman Filter (2023). ArXiv, abs\/2310.17158. https:\/\/doi.org\/10.48550\/arXiv.2310.17158","DOI":"10.48550\/arXiv.2310.17158"},{"key":"25_CR13","doi-asserted-by":"publisher","unstructured":"Jharbade, P., Dixit, M.: Detecting space debris using deep learning algorithms: a survey. 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), pp. 883\u2013890 (2022). https:\/\/doi.org\/10.1109\/ICIRCA54612.2022.9985622","DOI":"10.1109\/ICIRCA54612.2022.9985622"},{"key":"25_CR14","doi-asserted-by":"publisher","unstructured":"Caldas, F., Soares, C.: Machine Learning in Orbit Estimation: a Survey. ArXiv, abs\/2207.08993 (2022). https:\/\/doi.org\/10.48550\/arXiv.2207.08993","DOI":"10.48550\/arXiv.2207.08993"},{"key":"25_CR15","unstructured":"Furfaro, R., Campbell, T., Linares, R., Reddy, V.: Space Debris Identification and Characterization via Deep Meta-Learning (2019)"},{"key":"25_CR16","unstructured":"NASA, DrivenData. Pose Bowl: Spacecraft Detection and Pose Estimation Challenge (2024). Retrieved September 24 of 2024"}],"container-title":["Lecture Notes in Computer Science","Progress in Artificial Intelligence and Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-11358-0_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T07:04:14Z","timestamp":1770015854000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-11358-0_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032113573","9783032113580"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-11358-0_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"3 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWAIPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Congress on Artificial Intelligence and Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Varadero","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cuba","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwaipr2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eventos.uci.cu\/en\/event\/ix-international-congress-on-artificial-intelligence-and-pattern-recognition-iwaipr-2025-2\/register","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}