Superpixel-Based Semisupervised Active Learning for Hyperspectral Image Classification

10.1109/TGRS.2012.2205263

10.1109/ICCV.2003.1238308

10.1109/TGRS.2016.2641985

10.1109/TGRS.2016.2553047

10.1109/TGRS.2014.2305805

10.1109/TGRS.2018.2800107

10.3390/rs8100804

10.3390/rs8090749

10.1109/JSTARS.2014.2333233

10.1109/TGRS.2012.2228275

10.1109/JPROC.2012.2231951

krishnakumar, 2007, Active learning literature survey

10.1109/JSTARS.2016.2609404

10.1016/j.rse.2007.07.028

10.1126/science.228.4704.1147

10.1109/TGRS.2007.895416

luo, 0, Active learning to recognize multiple types of plankton, Proc 17th Int Conf Pattern Recognit, 3, 478

10.1109/TGRS.2014.2365676

10.1109/TGRS.2008.2010404

10.1109/TGRS.2011.2128330

settles, 2016, Active learning literature survey, Computer Science and Technology

10.1016/j.rse.2011.04.022

10.1126/science.1242072

10.1007/978-4-431-66933-3

10.1016/S0034-4257(98)00064-9

richards, 2006, Assessment of classification accuracy, Remote Sensing Digital Image Analysis, 303

10.1109/TGRS.2013.2296031

10.1109/JSTARS.2014.2325741

10.1109/MGRS.2016.2641240

10.1109/TGRS.2005.846154

10.1109/LGRS.2009.2012443

10.1109/TGRS.2012.2230445

10.1109/LGRS.2017.2665679

li, 2013, Semisupervised hyperspectral image classification using soft sparse multinomial logistic regression, IEEE Geosci Remote Sens Lett, 10, 318, 10.1109/LGRS.2012.2205216

10.1109/TGRS.2014.2335177

10.1109/JSTARS.2014.2355843

10.2307/143141

10.1109/PRRS.2016.7867023

10.1109/TGRS.2016.2514404

10.1109/TIT.1968.1054102

10.3390/rs71215819

10.1109/TGRS.2010.2060550

zhu, 2005, Semi-supervised learning literature survey

chapelle, 2010, Semi-Supervised Learning

10.1117/1.1766301

10.1145/279943.279962

achanta, 2010, SLIC Superpixels

10.1109/TPAMI.2012.120

10.1016/j.patrec.2009.09.011

10.1016/j.rse.2017.10.020

krishnapuram, 0, On semi-supervised classification, Proc Int Conf Neural Inf Process, 721

10.1109/TPAMI.2005.127

10.1016/j.patrec.2013.09.013

bioucas-dias, 2009, Logistic regression via variable splitting and augmented Lagrangian tools, Instituto Superior Técnico