{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T16:51:18Z","timestamp":1743007878609,"version":"3.40.3"},"publisher-location":"Cham","reference-count":7,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031287862"},{"type":"electronic","value":"9783031287879"}],"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\/978-3-031-28787-9_7","type":"book-chapter","created":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T11:03:09Z","timestamp":1679396589000},"page":"81-94","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["High Precision Extraction of UAV Tracking Image Information Based on Big Data Technology"],"prefix":"10.1007","author":[{"given":"Xiaobo","family":"Jiang","sequence":"first","affiliation":[]},{"given":"Wenda","family":"Xie","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,3,22]]},"reference":[{"key":"7_CR1","unstructured":"Jing, K.L., Si-yu, F., Ya-fu, Z.: Model predictive control of the fuel cell cathode system based on state quantity estimation. Comput. Simul. 37(07), 119\u2013122 (2020)"},{"issue":"10","key":"7_CR2","doi-asserted-by":"publisher","first-page":"1691","DOI":"10.18306\/dlkxjz.2021.10.007","volume":"40","author":"L Zhao","year":"2021","unstructured":"Zhao, L., Xie, F., Xu, C., et al.: High-resolution simulation analysis of meteorological factors of unmanned aerial vehicle air route in the Beijing-Tianjin-Hebei region. Prog. Geogr. 40(10), 1691\u20131703 (2021)","journal-title":"Prog. Geogr."},{"issue":"02","key":"7_CR3","first-page":"57","volume":"37","author":"C Ling","year":"2021","unstructured":"Ling, C., Liu, H., Ji, P., et al.: Estimation of vegetation coverage based on VDVI index of UAV visible image \u2014using the shelterbelt research area as an example. Forest Eng. 37(02), 57\u201366 (2021)","journal-title":"Forest Eng."},{"issue":"01","key":"7_CR4","first-page":"6","volume":"37","author":"X Hu","year":"2021","unstructured":"Hu, X., Ni, H., Qi, D.: Tree counts extraction based on UAV imagery. Forest Eng. 37(01), 6\u201312 (2021)","journal-title":"Forest Eng."},{"key":"7_CR5","unstructured":"Zhang, R., Shao, Z., Portnov, A., et al.: Multi-scale dilated convolutional neural network for object detection in UAV images. Geomatics Inf. Sci. Wuhan Univ. 45(06), 895\u2013903 (2020)"},{"key":"7_CR6","unstructured":"Yang, H., Yang, Z., Sun, D.: Research on high resolution satellite image information extraction based on short translation. Geomatics Spat. Inf. Technol. 44(S1), 168\u2013170+176 (2020)"},{"key":"7_CR7","unstructured":"Yan, S., Wen, S., Ren, Z.: Comparative study on fusion methods of quickbird remote sensing images. J. Henan Sci. Technol. 44(S1), 168\u2013170+176 (2021)"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Advanced Hybrid Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-28787-9_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T11:10:22Z","timestamp":1679397022000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-28787-9_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031287862","9783031287879"],"references-count":7,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-28787-9_7","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"22 March 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADHIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Hybrid Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Changsha","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adhip2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confyplus.eai.eu","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"276","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":"109","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":"39% - 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":"3","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}