{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T09:58:13Z","timestamp":1768125493044,"version":"3.49.0"},"reference-count":9,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,11]]},"DOI":"10.1109\/igarss47720.2021.9554609","type":"proceedings-article","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T17:49:09Z","timestamp":1634147349000},"page":"5259-5262","source":"Crossref","is-referenced-by-count":4,"title":["Automated Counting Wild Birds on UAV Image Using Deep Learning"],"prefix":"10.1109","author":[{"given":"Kenta","family":"Ogawa","sequence":"first","affiliation":[]},{"given":"Yuting","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Hiroshi","family":"Takeda","sequence":"additional","affiliation":[]},{"given":"Kanji","family":"Hashimoto","sequence":"additional","affiliation":[]},{"given":"Yukiko","family":"Konno","sequence":"additional","affiliation":[]},{"given":"Kaori","family":"Mori","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","first-page":"363","article-title":"Automated Counting of Waterfowl on Water Surface Using UAV Imagery","volume":"39","author":"ogawa","year":"0","journal-title":"Journal of the Remote Sensing Society of Japan"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.abc3000"},{"key":"ref6","article-title":"Detnet: A backbone network for object detection","author":"li","year":"0","journal-title":"ArXiv Preprint"},{"key":"ref5","article-title":"Faster r-cnn: Towards realtime object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref8","article-title":"Deep residualleaming for image recognition","author":"he","year":"2016","journal-title":"CVPR"},{"key":"ref7","article-title":"Feature pyramid networks for object detection","author":"lin","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2193\/0091-7648(2006)34[750:AAOSUA]2.0.CO;2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1890\/120150"}],"event":{"name":"IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium","location":"Brussels, Belgium","start":{"date-parts":[[2021,7,11]]},"end":{"date-parts":[[2021,7,16]]}},"container-title":["2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9553015\/9553016\/09554609.pdf?arnumber=9554609","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T11:46:51Z","timestamp":1652183211000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9554609\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":9,"URL":"https:\/\/doi.org\/10.1109\/igarss47720.2021.9554609","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]}}}