10.1023/B:VISI.0000029664.99615.94
10.1109/WARSD.2003.1295182
blaschke, 2001, What's wrong with pixels? Some recent developments interfacing remote sensing and gis, Zeitschrift für Geoinformationssysteme, 14, 12
10.1109/TGRS.2019.2893180
10.1109/TGRS.2018.2841823
10.1109/TGRS.2015.2393857
10.1007/978-3-540-77058-9
10.1016/j.isprsjprs.2009.06.004
10.1080/01431160600702632
10.1109/TGRS.2017.2765364
10.1109/MGRS.2016.2616418
10.1109/TGRS.2019.2907932
10.1109/TGRS.2017.2778300
10.1109/CVPR.2015.7298721
10.1109/TGRS.2008.2010404
10.1080/10106049908542126
10.1080/01431169208904084
10.1109/JSTSP.2011.2139193
10.1109/ICCV.2011.6126403
10.1007/978-3-642-39402-7_33
10.1016/j.neucom.2019.05.024
10.1109/TGRS.2019.2963364
zegeye, 2018, A novel active learning technique for multi-label remote sensing image scene classification, Proc Image Signal Process Remote Sens XXIV, 10789
10.1016/j.isprsjprs.2019.01.015
10.1109/LGRS.2019.2893306
10.1109/TGRS.2017.2760909
10.1109/TPAMI.2019.2938758
10.1109/LGRS.2020.2975541
10.1109/LGRS.2015.2453130
10.1109/TGRS.2013.2241444
10.1016/S0042-6989(97)00169-7
10.1016/0169-7439(87)80084-9
10.1109/LGRS.2015.2513443
10.1109/LGRS.2012.2228625
10.1109/JSTARS.2014.2339842
10.1109/CBMI.2014.6849835
10.1109/TSMC.1973.4309314
10.1109/LGRS.2019.2896411
10.1109/TGRS.2019.2951779
10.1109/TGRS.2017.2692281
10.1109/LGRS.2018.2800642
10.1109/TGRS.2017.2689071
10.1109/LGRS.2019.2897652
10.1080/10095020.2017.1329314
10.1109/JPROC.2012.2189089
10.1016/j.landurbplan.2010.10.007
10.1109/TGRS.2011.2165548
koch, 0, Siamese neural networks for one-shot image recognition, Proc ICML Deep Learn Workshop, 2, 1
10.1080/01431161.2012.705443
10.1109/TGRS.2011.2151866
10.1109/JSTARS.2018.2803784
10.1007/978-3-642-15561-1_11
10.1109/TPAMI.2002.1017623
10.1016/S0031-3203(96)00068-4
10.1109/TGRS.2015.2496185
10.1109/LGRS.2015.2475299
xia, 2010, Structural high-resolution satellite image indexing, ISPRS TC VII Symposium-100 Years ISPRS, 298
10.1109/TGRS.2017.2783902
10.1109/TGRS.2019.2906883
li, 2017, RSCI-CB: A large scale remote sensing image classification benchmark via crowdsource data, arXiv 1705 10450
10.1109/CVPR.2009.5206848
10.1109/MGRS.2016.2540798
10.1109/JSTARS.2019.2918242
10.1109/MGRS.2017.2762307
10.1109/TGRS.2018.2864987
10.1080/2150704X.2018.1453173
10.1109/LGRS.2018.2890413
10.1109/IGARSS.2019.8900532
10.1109/MGRS.2016.2641240
10.1109/TGRS.2017.2685945
10.1016/j.isprsjprs.2017.11.004
10.1109/LGRS.2019.2931305
10.1109/TGRS.2018.2833293
10.1109/TGRS.2019.2937830
10.1109/JSTARS.2015.2513898
10.1109/LGRS.2012.2216499
10.1080/01431161.2011.608740
10.1109/TGRS.2015.2435801
10.1109/TGRS.2017.2702596
10.1109/TGRS.2016.2640186
10.1109/LGRS.2019.2894399
10.1109/TGRS.2015.2478379
10.1109/LGRS.2018.2883310
10.1109/LGRS.2018.2859024
10.1162/neco.2006.18.7.1527
10.1109/LGRS.2018.2880136
10.1109/JPROC.2015.2449668
vincent, 2010, Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion, J Mach Learn Res, 11, 3371
10.1109/TGRS.2019.2893115
10.1109/TGRS.2017.2700322
10.1109/TGRS.2016.2523563
10.1109/LGRS.2015.2499239
10.1109/TCYB.2016.2536638
zhu, 2018, A deep-local-global feature fusion framework for high spatial resolution imagery scene classification, Remote Sens, 10, 10.3390/rs10040568
10.1049/iet-cvi.2014.0270
10.1080/01431161.2016.1266059
10.1080/01431161.2016.1171928
10.1109/LGRS.2017.2731997
girshick, 0, Discriminatively activated sparselets, Proc Int Conf Mach Learn, 196
10.1109/TGRS.2015.2488681
10.1109/TGRS.2018.2869101
10.1109/TGRS.2018.2845668
10.1109/TGRS.2017.2711275
simonyan, 0, Very deep convolutional networks for large-scale image recognition, Proc Int Conf Learn Represent, 1
10.1109/CVPR.2015.7298594
10.1016/j.rse.2017.05.001
10.1109/JSTARS.2018.2804440
10.1109/TGRS.2019.2922908
10.1080/01431161.2012.714508
10.1080/01431161.2013.876120
10.1109/TGRS.2016.2601622
10.1109/TGRS.2019.2909695
10.1016/j.isprsjprs.2018.09.014
goodfellow, 0, Generative adversarial nets, Proc Adv Neural Inf Process Syst, 2672
10.1109/TGRS.2019.2913816
10.1016/j.isprsjprs.2019.04.015
10.1016/j.isprsjprs.2016.03.014
10.1109/LGRS.2017.2752750
10.1109/TGRS.2019.2931801
10.1016/j.isprsjprs.2019.11.023
10.1109/GlobalSIP.2018.8646414
castelluccio, 2015, Land use classification in remote sensing images by convolutional neural networks, arXiv 1508 00092
10.1109/TGRS.2019.2917161
10.1109/TGRS.2018.2848473
10.1109/JPROC.2017.2675998
10.1109/TGRS.2018.2873966
10.1109/CVPR.2015.7298721
10.1109/JSTARS.2019.2919317
10.1109/TNNLS.2019.2920374
10.1109/CVPRW.2015.7301382
10.1016/j.patcog.2016.07.001
10.1109/JPROC.2019.2948454
10.1109/TGRS.2014.2357078