{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T16:09:23Z","timestamp":1780675763093,"version":"3.54.1"},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"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":[[2019,7]]},"DOI":"10.1109\/igarss.2019.8897879","type":"proceedings-article","created":{"date-parts":[[2019,11,25]],"date-time":"2019-11-25T18:40:56Z","timestamp":1574707256000},"page":"6106-6109","source":"Crossref","is-referenced-by-count":7,"title":["Fully Convolutional Neural Network for Land Cover Mapping In A Coastal Wetland with Hyperspatial UAS Imagery"],"prefix":"10.1109","author":[{"given":"Mohammad","family":"Pashaei","sequence":"first","affiliation":[{"name":"Texas A&M University-Corpus Christi,School of Engineering and Computing Sciences and the Conrad Blucher Institute for Surveying and Science"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael J.","family":"Starek","sequence":"additional","affiliation":[{"name":"Texas A&M University-Corpus Christi,School of Engineering and Computing Sciences and the Conrad Blucher Institute for Surveying and Science"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref3","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2612821"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref5","article-title":"Segnet: A deep convolutional encoder-decoder architecture for image segmentation","author":"badrinarayanan","year":"2015"},{"key":"ref8","article-title":"Decaf: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"2014","journal-title":"International Conference on Machine Learning"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1190\/1.1803501"},{"key":"ref2","article-title":"The economic and market value of coasts and estuaries: what's at stake?","author":"pendleton","year":"2010","journal-title":"The economic and market value of coasts and estuaries what's at stake?"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"14680","DOI":"10.3390\/rs71114680","article-title":"Transferring deep convolutional neural networks for the scene classification of high-resolution remote sensing imagery","volume":"7","author":"hu","year":"2015","journal-title":"Remote Sensing"},{"key":"ref1","article-title":"Status and trends of wetlands in the coastal watersheds of the eastern United States, 1998 to 2004","author":"dahl","year":"2008"}],"event":{"name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","location":"Yokohama, Japan","start":{"date-parts":[[2019,7,28]]},"end":{"date-parts":[[2019,8,2]]}},"container-title":["IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8891871\/8897702\/08897879.pdf?arnumber=8897879","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T20:04:27Z","timestamp":1780430667000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8897879\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/igarss.2019.8897879","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}