{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T16:50:14Z","timestamp":1781974214474,"version":"3.54.5"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"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":[[2022,8,21]]},"DOI":"10.1109\/icpr56361.2022.9956671","type":"proceedings-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T19:34:13Z","timestamp":1669750453000},"page":"111-118","source":"Crossref","is-referenced-by-count":1,"title":["Deep Attention-based Lightweight Network For Aerial Image Deblurring"],"prefix":"10.1109","author":[{"given":"Suhe","family":"Wang","sequence":"first","affiliation":[{"name":"National University of Defense Technology,College of Computer,Changsha,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Liu","sequence":"additional","affiliation":[{"name":"National University of Defense Technology,College of Computer,Changsha,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00854"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00897"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2020.115952"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.549"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00853"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2967823"},{"key":"ref16","article-title":"Squeezenet: Alexnet-level accuracy with 50x fewer parameters and ¡0.5mb model size","author":"iandola","year":"2016"},{"key":"ref17","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017"},{"key":"ref18","article-title":"Shufflenet: An extremely efficient convolutional neural network for mobile devices","author":"zhang","year":"2017"},{"key":"ref19","article-title":"Cbam: Convolutional block attention module","author":"woo","year":"2018","journal-title":"European Conference on Computer Vision"},{"key":"ref28","article-title":"Squeeze-and-excitation networks","volume":"pp","author":"jie","year":"2017","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.392"},{"key":"ref27","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2015"},{"key":"ref3","article-title":"Study and application of micro-vibration virtual simulation of satellite","author":"jiang","year":"2011","journal-title":"Computer Measurement & Control"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.356"},{"key":"ref29","article-title":"Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections","author":"mao","year":"2016"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.371"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00613"},{"key":"ref7","article-title":"Deep multi-scale convolutional neural network for dynamic scene deblurring","author":"nah","year":"2016","journal-title":"IEEE Computer Society"},{"key":"ref2","article-title":"High precision measurement technology of satellite’s angle microvibration","author":"huo","year":"2011","journal-title":"Transducer and Microsystem Technologies"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00418"},{"key":"ref1","article-title":"The application of remote sensing technique in land resource investigation and management","author":"zhou","year":"2011"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01350"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref21","first-page":"1","article-title":"Channel-wise and spatial feature modulation network for single image super-resolution","volume":"pp","author":"hu","year":"2019","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"ref24","first-page":"3","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","volume":"56","author":"han","year":"2015","journal-title":"FIBER"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.06.078"},{"key":"ref26","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"Computer Science"},{"key":"ref25","article-title":"Channel pruning for accelerating very deep neural networks","author":"zhang","year":"2017","journal-title":"IEEE International Conference on Computer Vision"}],"event":{"name":"2022 26th International Conference on Pattern Recognition (ICPR)","location":"Montreal, QC, Canada","start":{"date-parts":[[2022,8,21]]},"end":{"date-parts":[[2022,8,25]]}},"container-title":["2022 26th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9956007\/9955631\/09956671.pdf?arnumber=9956671","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T20:05:04Z","timestamp":1671480304000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956671\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,21]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/icpr56361.2022.9956671","relation":{},"subject":[],"published":{"date-parts":[[2022,8,21]]}}}