@article{koonce2021resnet,
  title={ResNet 50},
  author={Koonce, Brett and Koonce, Brett},
  journal={Convolutional Neural Networks with Swift for Tensorflow: Image Recognition and Dataset Categorization},
  pages={63--72},
  year={2021},
  publisher={Springer}
}

@inproceedings{bevandic2022multi,
  title={Multi-domain semantic segmentation with overlapping labels},
  author={Bevandi{\'c}, Petra and Or{\v{s}}i{\'c}, Marin and Grubi{\v{s}}i{\'c}, Ivan and {\v{S}}ari{\'c}, Josip and {\v{S}}egvi{\'c}, Sini{\v{s}}a},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages={2615--2624},
  year={2022}
}

@inproceedings{desai2022active,
  title={Active learning for improved semi-supervised semantic segmentation in satellite images},
  author={Desai, Shasvat and Ghose, Debasmita},
  booktitle={Proceedings of the IEEE/CVF winter conference on applications of computer vision},
  pages={553--563},
  year={2022}
}

@article{bevis1992gps,
  title={GPS meteorology: Remote sensing of atmospheric water vapor using the global positioning system},
  author={Bevis, Michael and Businger, Steven and Herring, Thomas A and Rocken, Christian and Anthes, Richard A and Ware, Randolph H},
  journal={Journal of Geophysical Research: Atmospheres},
  volume={97},
  number={D14},
  pages={15787--15801},
  year={1992},
  publisher={Wiley Online Library}
}
@article{stow2004remote,
  title={Remote sensing of vegetation and land-cover change in Arctic Tundra Ecosystems},
  author={Stow, Douglas A and Hope, Allen and McGuire, David and Verbyla, David and Gamon, John and Huemmrich, Fred and Houston, Stan and Racine, Charles and Sturm, Matthew and Tape, Kenneth and others},
  journal={Remote sensing of environment},
  volume={89},
  number={3},
  pages={281--308},
  year={2004},
  publisher={Elsevier}
}
@article{yang2017urban,
  title={Urban land use efficiency and coordination in China},
  author={Yang, Xiaodong and Wu, Yongxiang and Dang, Hang},
  journal={Sustainability},
  volume={9},
  number={3},
  pages={410},
  year={2017},
  publisher={MDPI}
}
@article{heilman2002forest,
  title={Forest fragmentation of the conterminous United States: assessing forest intactness through road density and spatial characteristics: forest fragmentation can be measured and monitored in a powerful new way by combining remote sensing, geographic information systems, and analytical software},
  author={Heilman, Gerald E and Strittholt, James R and Slosser, Nicholas C and Dellasala, Dominick A},
  journal={BioScience},
  volume={52},
  number={5},
  pages={411--422},
  year={2002},
  publisher={American Institute of Biological Sciences}
}
@article{runting2020opportunities,
  title={Opportunities for big data in conservation and sustainability},
  author={R. K. Runting and S. Phinn and Z. Xie and Venter, Oscar and Watson, James EM},
  journal={Nature Communications},
  volume={11},
  number={1},
  pages={1--4},
  year={2020},
  publisher={Nature Publishing Group}
}
@article{zhang2016advances,
  title={Advances in Machine Learning for Remote Sensing and Geosciences},
  author={Zhang, L and Zhang, L and Du, B},
  journal={IEEE Geosci. Remote Sens},
  volume={19},
  pages={22--40},
  year={2016}
}
@article{bioucas2013hyperspectral,
  title={Hyperspectral remote sensing data analysis and future challenges},
  author={Bioucas-Dias, Jos{\'e} M and Plaza, Antonio and Camps-Valls, Gustavo and Scheunders, Paul and Nasrabadi, Nasser and Chanussot, Jocelyn},
  journal={IEEE Geoscience and remote sensing magazine},
  volume={1},
  number={2},
  pages={6--36},
  year={2013},
  publisher={IEEE}
}
@article{enderle2005integrating,
  title={Integrating supervised and unsupervised classification methods to develop a more accurate land cover classification},
  author={Enderle, Donald IM and Weih Jr, Robert C},
  journal={Journal of the Arkansas Academy of Science},
  volume={59},
  number={1},
  pages={65--73},
  year={2005}
}
@article{krizhevsky2017imagenet,
  title={Imagenet classification with deep convolutional neural networks},
  author={Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E},
  journal={Communications of the ACM},
  volume={60},
  number={6},
  pages={84--90},
  year={2017},
  publisher={AcM New York, NY, USA}
}
@inproceedings{zeiler2014visualizing,
  title={Visualizing and understanding convolutional networks},
  author={Zeiler, Matthew D and Fergus, Rob},
  booktitle={European conference on computer vision},
  pages={818--833},
  year={2014},
  organization={Springer}
}
@book{goodfellow2016deep,
  title={Deep learning},
  author={Goodfellow, Ian and Bengio, Yoshua and Courville, Aaron},
  year={2016},
  publisher={MIT press}
}
@article{gao2008comparison,
  title={A comparison of the performance of pixel-based and object-based classifications over images with various spatial resolutions},
  author={Gao, Yan and Mas, Jean Francois},
  journal={Online journal of earth sciences},
  volume={2},
  number={1},
  pages={27--35},
  year={2008}
}
@article{liu2019recent,
  title={Recent progress in semantic image segmentation},
  author={Liu, Xiaolong and Deng, Zhidong and Yang, Yuhan},
  journal={Artificial Intelligence Review},
  volume={52},
  number={2},
  pages={1089--1106},
  year={2019},
  publisher={Springer}
}
@article{zhao2016spectral,
  title={Spectral--spatial feature extraction for hyperspectral image classification: A dimension reduction and deep learning approach},
  author={Zhao, Wenzhi and Du, Shihong},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={54},
  number={8},
  pages={4544--4554},
  year={2016},
  publisher={IEEE}
}
@article{marmanis2018classification,
  title={Classification with an edge: Improving semantic image segmentation with boundary detection},
  author={Marmanis, Dimitrios and Schindler, Konrad and Wegner, Jan Dirk and Galliani, Silvano and Datcu, Mihai and Stilla, Uwe},
  journal={ISPRS Journal of Photogrammetry and Remote Sensing},
  volume={135},
  pages={158--172},
  year={2018},
  publisher={Elsevier}
}
@article{liu2018ern,
  title={ERN: Edge loss reinforced semantic segmentation network for remote sensing images},
  author={Liu, Shuo and Ding, Wenrui and Liu, Chunhui and Liu, Yu and Wang, Yufeng and Li, Hongguang},
  journal={Remote Sensing},
  volume={10},
  number={9},
  pages={1339},
  year={2018},
  publisher={MDPI}
}
@inproceedings{lowe1999object,
  title={Object recognition from local scale-invariant features},
  author={Lowe, David G},
  booktitle={Proceedings of the seventh IEEE international conference on computer vision},
  volume={2},
  pages={1150--1157},
  year={1999},
  organization={Ieee}
}
@inproceedings{dalal2005histograms,
  title={Histograms of oriented gradients for human detection},
  author={Dalal, Navneet and Triggs, Bill},
  booktitle={2005 IEEE computer society conference on computer vision and pattern recognition (CVPR'05)},
  volume={1},
  pages={886--893},
  year={2005},
  organization={Ieee}
}
@article{sun2018fully,
  title={Fully convolutional networks for semantic segmentation of very high resolution remotely sensed images combined with DSM},
  author={Sun, Weiwei and Wang, Ruisheng},
  journal={IEEE Geoscience and Remote Sensing Letters},
  volume={15},
  number={3},
  pages={474--478},
  year={2018},
  publisher={IEEE}
}
@inproceedings{Souly2017,
  title={Semi supervised semantic segmentation using generative adversarial network},
  author={N. Souly and C. Spampinato and M. Shah},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={5688--5696},
  year={2017}
}
@article{xia2017w,
  title={W-net: A deep model for fully unsupervised image segmentation},
  author={Xia, Xide and Kulis, Brian},
  journal={arXiv preprint arXiv:1711.08506},
  year={2017}
}
@article{Castillo2022,
  title={Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance suite, dataset analysis and multi-task network study},
  author={J. Castillo-Navarro and B. Le Saux and A. Boulch and N. Audebert and S. Lef{\`e}vre},
  journal={Machine Learning},
  volume={111},
  number={9},
  pages={3125--3160},
  year={2022},
  publisher={Springer}
}
@inproceedings{Long2015,
  title={Fully convolutional networks for semantic segmentation},
  author={J. Long and E. Shelhamer and T. Darrell},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={3431--3440},
  year={2015}
}
@article{wang2020semisupervised,
  title={Semisupervised multiscale generative adversarial network for semantic segmentation of remote sensing image},
  author={Wang, Jiaqi and Liu, Bing and Zhou, Yong and Zhao, Jiaqi and Xia, Shixiong and Yang, Yuancan and Zhang, Man and Ming, Liu Ming},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2020},
  publisher={IEEE}
}
@article{li2021semisupervised,
  title={Semisupervised Semantic Segmentation of Remote Sensing Images With Consistency Self-Training},
  author={Li, Jiahao and Sun, Bin and Li, Shutao and Kang, Xudong},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={60},
  pages={1--11},
  year={2021},
  publisher={IEEE}
}
@article{kang2021picoco,
  title={PiCoCo: Pixelwise contrast and consistency learning for semisupervised building footprint segmentation},
  author={Kang, Jian and Wang, Zhirui and Zhu, Ruoxin and Sun, Xian and Fernandez-Beltran, Ruben and Plaza, Antonio},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  volume={14},
  pages={10548--10559},
  year={2021},
  publisher={IEEE}
}
@article{wang2021ranpaste,
  title={RanPaste: Paste consistency and pseudo label for semisupervised remote sensing image semantic segmentation},
  author={Wang, Jia-Xin and Chen, Si-Bao and Ding, Chris HQ and Tang, Jin and Luo, Bin},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={60},
  pages={1--16},
  year={2021},
  publisher={IEEE}
}
@article{lecun1998gradient,
  title={Gradient-based learning applied to document recognition},
  author={LeCun, Yann and Bottou, L{\'e}on and Bengio, Yoshua and Haffner, Patrick},
  journal={Proceedings of the IEEE},
  volume={86},
  number={11},
  pages={2278--2324},
  year={1998},
  publisher={Ieee}
}
@inproceedings{verbeek2007region,
  title={Region classification with markov field aspect models},
  author={Verbeek, Jakob and Triggs, Bill},
  booktitle={2007 IEEE Conference on Computer Vision and Pattern Recognition},
  pages={1--8},
  year={2007},
  organization={IEEE}
}
@article{kohli2009robust,
  title={Robust higher order potentials for enforcing label consistency},
  author={Kohli, Pushmeet and Torr, Philip HS and others},
  journal={International Journal of Computer Vision},
  volume={82},
  number={3},
  pages={302--324},
  year={2009},
  publisher={Springer}
}
@inproceedings{visin2016reseg,
  title={Reseg: A recurrent neural network-based model for semantic segmentation},
  author={Visin, Francesco and Ciccone, Marco and Romero, Adriana and Kastner, Kyle and Cho, Kyunghyun and Bengio, Yoshua and Matteucci, Matteo and Courville, Aaron},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  pages={41--48},
  year={2016}
}
@article{krizhevsky2017imagenet,
  title={Imagenet classification with deep convolutional neural networks},
  author={Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E},
  journal={Communications of the ACM},
  volume={60},
  number={6},
  pages={84--90},
  year={2017},
  publisher={AcM New York, NY, USA}
}
@article{simonyan2014very,
  title={Very deep convolutional networks for large-scale image recognition},
  author={Simonyan, Karen and Zisserman, Andrew},
  journal={arXiv preprint arXiv:1409.1556},
  year={2014}
}
@inproceedings{szegedy2015going,
  title={Going deeper with convolutions},
  author={Szegedy, Christian and Liu, Wei and Jia, Yangqing and Sermanet, Pierre and Reed, Scott and Anguelov, Dragomir and Erhan, Dumitru and Vanhoucke, Vincent and Rabinovich, Andrew},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1--9},
  year={2015}
}
@article{dechesne2017semantic,
  title={Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery},
  author={Dechesne, Cl{\'e}ment and Mallet, Cl{\'e}ment and Le Bris, Arnaud and Gouet-Brunet, Val{\'e}rie},
  journal={ISPRS Journal of Photogrammetry and Remote Sensing},
  volume={126},
  pages={129--145},
  year={2017},
  publisher={Elsevier}
}
@article{rottensteiner2012isprs,
  title={The ISPRS benchmark on urban object classification and 3D building reconstruction},
  author={Rottensteiner, Franz and Sohn, Gunho and Jung, Jaewook and Gerke, Markus and Baillard, Caroline and Benitez, Sebastien and Breitkopf, Uwe},
  journal={ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences I-3 (2012), Nr. 1},
  volume={1},
  number={1},
  pages={293--298},
  year={2012},
  publisher={G{\"o}ttingen: Copernicus GmbH}
}
@inproceedings{volpi2015structured,
  title={Structured prediction for urban scene semantic segmentation with geographic context},
  author={Volpi, Michele and Ferrari, Vittorio},
  booktitle={2015 Joint Urban Remote Sensing Event (JURSE)},
  pages={1--4},
  year={2015},
  organization={IEEE}
}
@inproceedings{long2015fully,
  title={Fully convolutional networks for semantic segmentation},
  author={Long, Jonathan and Shelhamer, Evan and Darrell, Trevor},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={3431--3440},
  year={2015}
}
@book{long2000slicer,
  title={Slicer},
  author={Long, Earl},
  year={2000},
  publisher={iUniverse}
}
@article{gong2013deep,
  title={Deep convolutional ranking for multilabel image annotation},
  author={Gong, Yunchao and Jia, Yangqing and Leung, Thomas and Toshev, Alexander and Ioffe, Sergey},
  journal={arXiv preprint arXiv:1312.4894},
  year={2013}
}
@book{uba2016land,
  title={Land use and land cover classification using deep learning techniques},
  author={Uba, Nagesh Kumar},
  year={2016},
  publisher={Arizona State University}
}
@article{gidaris2018unsupervised,
  title={Unsupervised representation learning by predicting image rotations},
  author={Gidaris, Spyros and Singh, Praveer and Komodakis, Nikos},
  journal={arXiv preprint arXiv:1803.07728},
  year={2018}
}
@article{blaschke2014geographic,
  title={Geographic object-based image analysis--towards a new paradigm},
  author={Blaschke, Thomas and Hay, Geoffrey J and Kelly, Maggi and Lang, Stefan and Hofmann, Peter and Addink, Elisabeth and Feitosa, Raul Queiroz and Van der Meer, Freek and Van der Werff, Harald and Van Coillie, Frieke and others},
  journal={ISPRS journal of photogrammetry and remote sensing},
  volume={87},
  pages={180--191},
  year={2014},
  publisher={Elsevier}
}
@article{ma2017review,
  title={A review of supervised object-based land-cover image classification},
  author={Ma, Lei and Li, Manchun and Ma, Xiaoxue and Cheng, Liang and Du, Peijun and Liu, Yongxue},
  journal={ISPRS Journal of Photogrammetry and Remote Sensing},
  volume={130},
  pages={277--293},
  year={2017},
  publisher={Elsevier}
}
@article{zhang2018object,
  title={An object-based convolutional neural network (OCNN) for urban land use classification},
  author={Zhang, Ce and Sargent, Isabel and Pan, Xin and Li, Huapeng and Gardiner, Andy and Hare, Jonathon and Atkinson, Peter M},
  journal={Remote sensing of environment},
  volume={216},
  pages={57--70},
  year={2018},
  publisher={Elsevier}
}
@article{Jozdani2019,
  title={Comparing deep neural networks, ensemble classifiers, and support vector machine algorithms for object-based urban land use/land cover classification},
  author={S. E. Jozdani and B. A. Johnson and D. Chen},
  journal={Remote Sensing},
  volume={11},
  number={14},
  pages={1713},
  year={2019},
  publisher={MDPI}
}
@article{garcia2017review,
  title={A review on deep learning techniques applied to semantic segmentation},
  author={Garcia-Garcia, Alberto and Orts-Escolano, Sergio and Oprea, Sergiu and Villena-Martinez, Victor and Garcia-Rodriguez, Jose},
  journal={arXiv preprint arXiv:1704.06857},
  year={2017}
}
@article{hao2020brief,
  title={A brief survey on semantic segmentation with deep learning},
  author={Hao, Shijie and Zhou, Yuan and Guo, Yanrong},
  journal={Neurocomputing},
  volume={406},
  pages={302--321},
  year={2020},
  publisher={Elsevier}
}
@inproceedings{girshick2014rich,
  title={Rich feature hierarchies for accurate object detection and semantic segmentation},
  author={Girshick, Ross and Donahue, Jeff and Darrell, Trevor and Malik, Jitendra},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={580--587},
  year={2014}
}
@incollection{zhou2018unet++,
  title={Unet++: A nested u-net architecture for medical image segmentation},
  author={Zhou, Zongwei and Rahman Siddiquee, Md Mahfuzur and Tajbakhsh, Nima and Liang, Jianming},
  booktitle={Deep learning in medical image analysis and multimodal learning for clinical decision support},
  pages={3--11},
  year={2018},
  publisher={Springer}
}

@inproceedings{Oktay2018,
title={Attention U-Net: Learning Where to Look for the Pancreas},
author={O. Oktay and J. Schlemper and L. L. Folgoc and M. Lee and M. Heinrich and K. Misawa and K. Mori and S. McDonagh and N. Y. Hammerla and B. Kainz and B. Glocker and D. Rueckert},
booktitle={Medical Imaging with Deep Learning},
year={2018},
}

@article{kemker2018low,
  title={Low-shot learning for the semantic segmentation of remote sensing imagery},
  author={Kemker, Ronald and Luu, Ryan and Kanan, Christopher},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={56},
  number={10},
  pages={6214--6223},
  year={2018},
  publisher={IEEE}
}
@article{kemker2018algorithms,
  title={Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning},
  author={Kemker, Ronald and Salvaggio, Carl and Kanan, Christopher},
  journal={ISPRS journal of photogrammetry and remote sensing},
  volume={145},
  pages={60--77},
  year={2018},
  publisher={Elsevier}
}
@article{zhou2018automated,
  title={Automated residential building detection from airborne LiDAR data with deep neural networks},
  author={Zhou, Zixiang and Gong, Jie},
  journal={Advanced engineering informatics},
  volume={36},
  pages={229--241},
  year={2018},
  publisher={Elsevier}
}
@article{radford2016unsupervised,
  title={Unsupervised representation learning with deep convolutional generative adversarial networks (2016)},
  author={Radford, Alec and Metz, Luke and Chintala, Soumith},
  journal={arXiv preprint arXiv:1511.06434},
  year={2016},
  publisher={Available}
}
@inproceedings{bashmal2018generative,
  title={Generative adversarial networks for cross-scene classification in remote sensing images},
  author={Bashmal, Laila and Bazi, Yakoub and AlHichri, Haikel and Alajlan, Naif},
  booktitle={IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium},
  pages={4752--4755},
  year={2018},
  organization={IEEE}
}
@article{wang2020semisupervised,
  title={Semisupervised multiscale generative adversarial network for semantic segmentation of remote sensing image},
  author={Wang, Jiaqi and Liu, Bing and Zhou, Yong and Zhao, Jiaqi and Xia, Shixiong and Yang, Yuancan and Zhang, Man and Ming, Liu Ming},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2020},
  publisher={IEEE}
}
@article{castillo2022semi,
  title={Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance suite, dataset analysis and multi-task network study},
  author={Castillo-Navarro, Javiera and Le Saux, Bertrand and Boulch, Alexandre and Audebert, Nicolas and Lef{\`e}vre, S{\'e}bastien},
  journal={Machine Learning},
  volume={111},
  number={9},
  pages={3125--3160},
  year={2022},
  publisher={Springer}
}
@article{chen2014semantic,
  title={Semantic image segmentation with deep convolutional nets and fully connected crfs},
  author={Chen, Liang-Chieh and Papandreou, George and Kokkinos, Iasonas and Murphy, Kevin and Yuille, Alan L},
  journal={arXiv preprint arXiv:1412.7062},
  year={2014}
}
@article{tulczyjew2020unsupervised,
  title={Unsupervised feature learning using recurrent neural nets for segmenting hyperspectral images},
  author={Tulczyjew, Lukasz and Kawulok, Michal and Nalepa, Jakub},
  journal={IEEE Geoscience and Remote Sensing Letters},
  volume={18},
  number={12},
  pages={2142--2146},
  year={2020},
  publisher={IEEE}
}
@article{mirza2014conditional,
  title={Conditional generative adversarial nets},
  author={Mirza, Mehdi and Osindero, Simon},
  journal={arXiv preprint arXiv:1411.1784},
  year={2014}
}
@inproceedings{Isola2017,
  title={Image-to-image translation with conditional adversarial networks},
  author={P. Isola and J. Zhu and T. Zhou and A. A. Efros},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1125--1134},
  year={2017}
}
@article{Shao2018,
  title={A Benchmark Dataset for Performance Evaluation of Multi-Label Remote Sensing Image Retrieval.},
  author={Z. Shao and K. Yang and W. Zhou},
  journal={Remote Sensing},
  volume={10},
  number={6},
  year={2018}
}
@inproceedings{yang2010bag,
  title={Bag-of-visual-words and spatial extensions for land-use classification},
  author={Yang, Yi and Newsam, Shawn},
  booktitle={Proceedings of the 18th SIGSPATIAL international conference on advances in geographic information systems},
  pages={270--279},
  year={2010}
}
@article{Wang2020,
  title={Semisupervised multiscale generative adversarial network for semantic segmentation of remote sensing image},
  author={J. Wang and B. Liu and Y. Zhou and J. Zhao and S. Xia and Y. Yang and M. Zhang and L. Ming,},
  journal={IEEE Geoscience and Remote Sensing Letters},
  volume={19},
  pages={1--5},
  year={2020},
  publisher={IEEE}
}
@inproceedings{chakraborty2021deep,
  title={A Deep Semi-supervised Approach for Multi-label Land-Cover Classification Under Scarcity of Labelled Images},
  author={Chakraborty, Shounak and Agarwal, Nilesh and Roy, Moumita},
  booktitle={Soft Computing for Problem Solving: Proceedings of SocProS 2020, Volume 2},
  pages={1--12},
  year={2021},
  organization={Springer}
}

@article{Ma2019,
title = {Deep learning in remote sensing applications: A meta-analysis and review},
author = {L. Ma and Y. Liu and X. Zhang and Y. Ye and G. Yin and B. A. Johnson},
journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
volume = {152},
pages = {166-177},
year = {2019}
}

@ARTICLE{Meher2015,
author={S. K. Meher and D. A. Kumar},
journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
title={Ensemble of Adaptive Rule-Based Granular Neural Network Classifiers for Multispectral Remote Sensing Images},
year={2015},
volume={8},
number={5},
pages={2222-2231},
}

@ARTICLE{Ammour2018,
  author={N. Ammour and L. Bashmal and Y. Bazi and M. M. Al Rahhal and M. Zuair},
  journal={IEEE Geoscience and Remote Sensing Letters}, 
  title={Asymmetric Adaptation of Deep Features for Cross-Domain Classification in Remote Sensing Imagery}, 
  year={2018},
  volume={15},
  number={4},
  pages={597-601}}

@ARTICLE{Chakraborty2019(1), 
author={S. Chakraborty and M. Roy and F. Melgani}, 
journal={IEEE Geoscience and Remote Sensing Letters}, 
title={Semisupervised Two-Level Fusion-Based Autoencoded Approach for Low-Cost Domain Adaptation of Remotely Sensed Images}, 
year={2019}, 
volume={16}, 
number={7}, 
pages={1041-1045}, 
month={July},
}
