{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:11:13Z","timestamp":1767337873912,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031466632"},{"type":"electronic","value":"9783031466649"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-46664-9_9","type":"book-chapter","created":{"date-parts":[[2023,11,4]],"date-time":"2023-11-04T13:02:29Z","timestamp":1699102949000},"page":"125-138","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["DQN-Based Stitching Algorithm for Unmanned Aerial Vehicle Images"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-7895-3737","authenticated-orcid":false,"given":"Ji","family":"Ma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7018-9683","authenticated-orcid":false,"given":"Wenci","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0971-0132","authenticated-orcid":false,"given":"Tingwei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,5]]},"reference":[{"issue":"4","key":"9_CR1","doi-asserted-by":"publisher","first-page":"1175","DOI":"10.1109\/JSTARS.2019.2899369","volume":"12","author":"C Liu","year":"2019","unstructured":"Liu, C., Zhang, S., Akbar, A.: Ground feature oriented path planning for unmanned aerial vehicle mapping. IEEE J. Sel. Top. Appl. Earth Obser. Remote Sens. 12(4), 1175\u20131187 (2019)","journal-title":"IEEE J. Sel. Top. Appl. Earth Obser. Remote Sens."},{"key":"9_CR2","doi-asserted-by":"crossref","unstructured":"Cui, H., Li, Y., Zhang, K.: A fast UAV aerial image mosaic method based on improved KAZE. In: 2019 Chinese Automation Congress, pp. 2427\u20132432 (2019)","DOI":"10.1109\/CAC48633.2019.8997399"},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Yuanting, X., Yi, L., Kun, Y., Chun Xue, S.: Research on image mosaic of low altitude UAV based on Harris corner detection. In: 2019 14th IEEE International Conference on Electronic Measurement & Instruments, pp. 639\u2013645, IEEE, Changsha (2019)","DOI":"10.1109\/ICEMI46757.2019.9101711"},{"key":"9_CR4","doi-asserted-by":"crossref","unstructured":"Fangjie, C., Jun, H., Zuwu, W., Guoqiang, Z., Jianlian, C.: Image registration algorithm based on improved GMS and weighted projection transform. Laser & Optoelectronics Progress 55(11), 180\u2013186 (2018)","DOI":"10.3788\/LOP55.111006"},{"key":"9_CR5","unstructured":"Zhenyu, L., Yuan, T., Fang-jie, C., Jun, H.: Uav aerial image Mosaic algorithm based on improved ORB and PROSAC. Adv. Laser Optoelectronics 56(23), 91\u201399 (2019)"},{"key":"9_CR6","doi-asserted-by":"crossref","unstructured":"Lan, X., Guo, B., Huang, Z., Zhang, S.: An improved UAV aerial image mosaic algorithm based on GMS-PROSAC. In: 2020 IEEE 5th International Conference on Signal and Image Processing, pp.148\u2013152. IEEE, Nanjing (2020)","DOI":"10.1109\/ICSIP49896.2020.9339283"},{"key":"9_CR7","doi-asserted-by":"publisher","first-page":"95411","DOI":"10.1109\/ACCESS.2022.3204657","volume":"10","author":"YM Liu","year":"2022","unstructured":"Liu, Y.M., Wang, H.Y., Sun, Y., Gao, X.: Farmland Aerial Images Fast-Stitching Method and Application Based on Improved SIFT Algorithm. IEEE Access 10, 95411\u201395424 (2022)","journal-title":"IEEE Access"},{"key":"9_CR8","doi-asserted-by":"crossref","unstructured":"Leng, J., Wang, S.: UAV remote sensing image mosaic technology combined with improved SPHP algorithm. In: 2020 IEEE International Conference on Mechatronics and Automation, pp. 1155\u20131160. IEEE, Beijing (2020)","DOI":"10.1109\/ICMA49215.2020.9233777"},{"key":"9_CR9","unstructured":"Xiangdong, F., Chunying, Wei.: UAV Aerial image stitching method based on adaptive optimization of coverage area. In: Radio Engineering, pp.1\u20138 (2022)"},{"key":"9_CR10","doi-asserted-by":"crossref","unstructured":"Kim, J., Kim, T. Shin, D.: Fast and robust geometric correction for mosaicking UAV images with narrow overlaps. Remote Sens, pp. 2557\u20132576 (2017)","DOI":"10.1080\/01431161.2017.1294779"},{"key":"9_CR11","unstructured":"Wu, X.: Research on UAV image positioning optimization technology. PLA Information Engineering University (2017)"},{"key":"9_CR12","doi-asserted-by":"publisher","unstructured":"Yu, G., Ha, C., Shi, C., Gong, L., Yu, L.: A fast and robust UAV images mosaic method. In: Wang, L., Wu, Y., Gong, J. (eds.) Proceedings of the 7th China High Resolution Earth Observation Conference (CHREOC 2020). CHREOC 2020. LNEE, vol. 757, pp. 229\u2013245. Springer, Singapore (2022). https:\/\/doi.org\/10.1007\/978-981-16-5735-1_17","DOI":"10.1007\/978-981-16-5735-1_17"},{"key":"9_CR13","first-page":"1","volume":"19","author":"M Ren","year":"2022","unstructured":"Ren, M., Li, J., Song, L., Li, H., Xu, T.: MLP-Based Efficient Stitching Method for UAV Images. IEEE Geosci. Remote Sens. Lett. 19, 1\u20135 (2022)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"9_CR14","unstructured":"Quan, L., et al.: A survey on deep reinforcement learning. J. Comput. Sci. 1\u201328 (2017)"},{"key":"9_CR15","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1007\/s11370-021-00398-z","volume":"14","author":"EF Morales","year":"2021","unstructured":"Morales, E.F., Murrieta-Cid, R., Becerra, I., et al.: A survey on deep learning and deep reinforcement learning in robotics with a tutorial on deep reinforcement learning. Intel. Serv. Robotics. 14, 773\u2013805 (2021)","journal-title":"Intel. Serv. Robotics."},{"key":"9_CR16","doi-asserted-by":"publisher","first-page":"2733","DOI":"10.1007\/s10462-021-10061-9","volume":"55","author":"N Le","year":"2022","unstructured":"Le, N., Rathour, V.S., Yamazaki, K., et al.: Deep reinforcement learning in computer vision: a comprehensive survey. Artif. Intell. Rev. 55, 2733\u20132819 (2022)","journal-title":"Artif. Intell. Rev."},{"key":"9_CR17","doi-asserted-by":"publisher","first-page":"1699","DOI":"10.1007\/s10994-019-05849-4","volume":"109","author":"SA Chen","year":"2020","unstructured":"Chen, S.A., Tangkaratt, V., Lin, H.T., et al.: Active deep Q-learning with demonstration. Mach. Learn. 109, 1699\u20131725 (2020)","journal-title":"Mach. Learn."},{"key":"9_CR18","doi-asserted-by":"crossref","unstructured":"Mishra, S., Arora, A.: A Huber reward function-driven deep reinforcement learning solution for cart-pole balancing problem. Neural Comput. Appl. 35, 16705\u201316722 (2022)","DOI":"10.1007\/s00521-022-07606-6"},{"key":"9_CR19","unstructured":"Bellver, M., Giroinieto, X., Marques, F.et al.: Hierarchical object detection with deep reinforcement learning. ZarXivpreprintarXiv:1611, p. 03718 (2016)"},{"key":"9_CR20","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1631\/jzus.2005.A0492","volume":"6","author":"T Hongya","year":"2005","unstructured":"Hongya, T., Yun-cai, L.: A two-step rectification algorithm for airborne linear images with POS data. Zheijang Univ. 6, 492\u2013496 (2005)","journal-title":"Zheijang Univ."},{"key":"9_CR21","unstructured":"Pei, H-X., Liu, J-D., Ge, J-L., et al.: A review of image stitching techniques. J. Zhengzhou Univ. (Science Edition) 51(4), 1\u201310 (2019)"}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-46664-9_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,4]],"date-time":"2023-11-04T13:10:49Z","timestamp":1699103449000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-46664-9_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031466632","9783031466649"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-46664-9_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"5 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADMA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Data Mining and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenyang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 August 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 August 2023","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":"adma2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/adma2023.uqcloud.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes. Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"503","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"216","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"43% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.97","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.77","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}