{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T18:32:26Z","timestamp":1784658746771,"version":"3.55.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"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":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9533700","type":"proceedings-article","created":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T21:27:41Z","timestamp":1632173261000},"page":"1-8","source":"Crossref","is-referenced-by-count":16,"title":["Hyperspectral Band Selection for Multispectral Image Classification with Convolutional Networks"],"prefix":"10.1109","author":[{"given":"Giorgio","family":"Morales","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Sheppard","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Riley","family":"Logan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joseph","family":"Shaw","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2016.1212423"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2828161"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3011002"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1186\/s13007-019-0476-y"},{"key":"ref14","article-title":"Sensitive wavelengths selection in identification of Ophiopogon japonicus based on near-infrared hyperspectral imaging technology","volume":"2017","author":"li","year":"2017","journal-title":"International Journal of Analytical Chemistry"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321748"},{"key":"ref16","author":"taherkhani","year":"2019","journal-title":"Deep sparse band selection for hyperspectral face recognition"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/rs11020159"},{"key":"ref18","article-title":"Dy-namic channel pruning: Feature boosting and suppression","author":"gao","year":"2019","journal-title":"Proceedings of the 7th International Conference on Learning Representations (ICLR)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.13.044516"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2012.07.003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1364\/AO.47.000F71"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/1353691"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2007.12.014"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2019.2911100"},{"key":"ref7","first-page":"36519","article-title":"Reduced-cost hyperspectral convolutional neural networks","volume":"14","author":"morales","year":"2020","journal-title":"Journal of Applied Remote Sensing"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jas.2010.09.017"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/R10-HTC.2017.8288979"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifset.2013.04.014"},{"key":"ref20","author":"baumgardner","year":"2015","journal-title":"220 Band AVIRIS Hyperspectral Image Data Set June 12 1992 Indian Pine Test Site 3"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-7138-7"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1117\/12.942280"},{"key":"ref24","author":"zeiler","year":"2012","journal-title":"ADADELTA An Adaptive Learning Rate Method"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1002\/0471725153"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/cem.785"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","location":"Shenzhen, China","start":{"date-parts":[[2021,7,18]]},"end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09533700.pdf?arnumber=9533700","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:45:59Z","timestamp":1652197559000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9533700\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9533700","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}