{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:07:04Z","timestamp":1730200024334,"version":"3.28.0"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"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":[[2019,12]]},"DOI":"10.1109\/bigdata47090.2019.9006210","type":"proceedings-article","created":{"date-parts":[[2020,2,25]],"date-time":"2020-02-25T06:05:34Z","timestamp":1582610734000},"page":"5444-5452","source":"Crossref","is-referenced-by-count":6,"title":["Novel Deep-Learning-Based Spatial-Spectral Feature Extraction For Hyperspectral Remote Sensing Applications"],"prefix":"10.1109","author":[{"given":"Bishwas","family":"Praveen","sequence":"first","affiliation":[]},{"given":"Vineetha","family":"Menon","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.831865"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2162649"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2648515"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2004.1368947"},{"key":"ref31","article-title":"Hyperspectral Image Classification with Capsule Network using Limited Training Samples","author":"deng","year":"0","journal-title":"Sensors 2018 18 3153"},{"key":"ref30","first-page":"5141","article-title":"Hadamard-Walsh random projection for hyperspectral image classifiaction","author":"menon","year":"0","journal-title":"2016 IEEE International Geoscience and Remote Sensing Symposium 2016"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2388577"},{"key":"ref36","first-page":"1","article-title":"2D Gabor-Based Sparse Representation Classification for Hyperspectral Imagery","author":"kuilin","year":"0","journal-title":"2nd Workshop on Hyperspectral Image and Signal Processing Evolution in Remote Sensing (WHISPERS)"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/WHISPERS.2014.8077514"},{"key":"ref34","article-title":"Integration of Spectral Spatial Information for Hyperspectral Image Reconstruction from Compressive Random Projections","volume":"10","author":"wei","year":"2013","journal-title":"IEEE Geoscience and Remote Sensing Letters"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2013.2279179"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2012.2197589"},{"key":"ref11","article-title":"Spatial-Spectral Hyperspectral Classification Using Local Binary Patterns and Markov Random Fields","volume":"11","author":"zhen","year":"2017","journal-title":"Journal of Applied Remote Sensing"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2016.7729848"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/WHISPERS.2016.8071765"},{"key":"ref14","first-page":"1808","article-title":"Gabor Filtering based Deep Network for Hyperspectral Image Classification","author":"chengchao","year":"0","journal-title":"IGARSS 2017"},{"key":"ref15","first-page":"1","article-title":"2D Gabor-Based Sparse Representation Classification for Hyperspectral Imagery","author":"kuilin","year":"0","journal-title":"2nd Workshop on Hyperspectral Image and Signal Processing Evolution in Remote Sensing (WHISPERS)"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1080\/22797254.2017.1299556"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1968.1054102"},{"key":"ref18","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-1904-8","author":"jolliffe","year":"1986","journal-title":"Principal Component Analysis"},{"journal-title":"Pattern Classification","year":"2001","author":"duda","key":"ref19"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/WHISPERS.2016.8071787"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/DFUA.2003.1219987"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.11.045"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/WHISPERS.2016.8071699"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2008.4779358"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICSCN.2015.7219866"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/THS.2015.7225315"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/WHISPERS.2016.8071795"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2012.6350811"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S0034-4257(98)00064-9"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2005.857031"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1201\/b10599"},{"key":"ref20","first-page":"1027","article-title":"Dimensionaltity reduction of multimodal labeled data by local Fisher discriminant analysis","volume":"8","author":"sugiyama","year":"2007","journal-title":"Journal of Machine Learning Research"},{"key":"ref22","article-title":"Reconstruction from Random Projections of Hyperspectral Imagery with Spectral and Spatial Partitioning","volume":"6","author":"hoai","year":"2013","journal-title":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"},{"key":"ref21","article-title":"Improved Random Projection with K-Means Clustering for Hyperspectral Image Classification","volume":"14","author":"menon","year":"2017","journal-title":"IEEE Geoscience and Remote Sensing Letters"},{"key":"ref42","article-title":"Hyperspectral Imaging: Techniques for Spectral Detection and Classification","author":"chang","year":"2003","journal-title":"Springer Science & Business Media"},{"key":"ref24","article-title":"Hyperspectral Image Classification using Convolutional Neural Networks and Multiple Feature Learning","author":"gao","year":"0","journal-title":"Remote Sens 2018 10 299"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2475625"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2584107"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICBBE.2009.5162435"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2013.6723734"}],"event":{"name":"2019 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2019,12,9]]},"location":"Los Angeles, CA, USA","end":{"date-parts":[[2019,12,12]]}},"container-title":["2019 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8986695\/9005444\/09006210.pdf?arnumber=9006210","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:48:11Z","timestamp":1658094491000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9006210\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/bigdata47090.2019.9006210","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}