@String(PAMI = {IEEE Trans. Pattern Anal. Mach. Intell.})
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@String(ACMMM= {ACM Int. Conf. Multimedia})
@String(ICME = {Int. Conf. Multimedia and Expo})
@String(ICASSP=	{ICASSP})
@String(ICIP = {IEEE Int. Conf. Image Process.})
@String(ACCV  = {ACCV})
@String(ICLR = {Int. Conf. Learn. Represent.})
@String(IJCAI = {IJCAI})
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@String(CVPRW= {IEEE Conf. Comput. Vis. Pattern Recog. Worksh.})
@String(CSVT = {IEEE Trans. Circuit Syst. Video Technol.})

@String(SPL	= {IEEE Sign. Process. Letters})
@String(VR   = {Vis. Res.})
@String(JOV	 = {J. Vis.})
@String(TVC  = {The Vis. Comput.})
@String(JCST  = {J. Comput. Sci. Tech.})
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@String(CVM = {Computational Visual Media})


@String(PAMI  = {IEEE TPAMI})
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@String(TCSVT = {IEEE TCSVT})
@String(TMM   =	{IEEE TMM})
@String(ACMMM = {ACM MM})
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@String(PAMI = {IEEE Trans. Pattern Anal. Mach. Intell.})
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@String(CVPR= {IEEE Conf. Comput. Vis. Pattern Recog.})
@String(ICCV= {Int. Conf. Comput. Vis.})
@String(ECCV= {Eur. Conf. Comput. Vis.})
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@String(TOG= {ACM Trans. Graph.})
@String(TIP  = {IEEE Trans. Image Process.})
@String(TVCG  = {IEEE Trans. Vis. Comput. Graph.})
@String(TMM  = {IEEE Trans. Multimedia})
@String(ACMMM= {ACM Int. Conf. Multimedia})
@String(ICME = {Int. Conf. Multimedia and Expo})
@String(ICASSP=	{ICASSP})
@String(ICIP = {IEEE Int. Conf. Image Process.})
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@String(SPL	= {IEEE Sign. Process. Letters})
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@String(CSVT = {IEEE TCSVT})



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@article{cong2022satmae,
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@inproceedings{li2024s2mae,
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@article{gui2024survey,
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@article{wang2022self,
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@article{lu2024ai,
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@article{huang2025survey,
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@article{zhang2022survey,
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}

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@article{vaswani2017attention,
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@article{xue2017significant,
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@inproceedings{he2020momentum,
  title={Momentum contrast for unsupervised visual representation learning},
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  year={2020}
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@inproceedings{chen2020simple,
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}

@inproceedings{caron2021emerging,
  title={Emerging properties in self-supervised vision transformers},
  author={Caron, Mathilde and Touvron, Hugo and Misra, Ishan and J{\'e}gou, Herv{\'e} and Mairal, Julien and Bojanowski, Piotr and Joulin, Armand},
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  pages={9650--9660},
  year={2021}
}

@article{hondru2025masked,
  title={Masked image modeling: A survey},
  author={Hondru, Vlad and Croitoru, Florinel Alin and Minaee, Shervin and Ionescu, Radu Tudor and Sebe, Nicu},
  journal={International Journal of Computer Vision},
  pages={1--47},
  year={2025},
  publisher={Springer}
}

@article{han2022survey,
  title={A survey on vision transformer},
  author={Han, Kai and Wang, Yunhe and Chen, Hanting and Chen, Xinghao and Guo, Jianyuan and Liu, Zhenhua and Tang, Yehui and Xiao, An and Xu, Chunjing and Xu, Yixing and others},
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@inproceedings{radford2021learning,
  title={Learning transferable visual models from natural language supervision},
  author={Radford, Alec and Kim, Jong Wook and Hallacy, Chris and Ramesh, Aditya and Goh, Gabriel and Agarwal, Sandhini and Sastry, Girish and Askell, Amanda and Mishkin, Pamela and Clark, Jack and others},
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  year={2021},
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  title={Beit: Bert pre-training of image transformers},
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  year={2021}
}

@inproceedings{reed2023scale,
  title={Scale-mae: A scale-aware masked autoencoder for multiscale geospatial representation learning},
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  pages={4088--4099},
  year={2023}
}

@article{tang2023cross,
  title={Cross-scale mae: A tale of multiscale exploitation in remote sensing},
  author={Tang, Maofeng and Cozma, Andrei and Georgiou, Konstantinos and Qi, Hairong},
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  volume={36},
  pages={20054--20066},
  year={2023}
}

@article{hong2023spectralgpt,
  title={SpectralGPT: Spectral remote sensing foundation model},
  author={Hong, Danfeng and Zhang, Bing and Li, Xuyang and Li, Yuxuan and Li, Chenyu and Yao, Jing and Yokoya, Naoto and Li, Hao and Ghamisi, Pedram and Jia, Xiuping and others},
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  year={2023}
}

@article{straka2025satdino,
  title={SatDINO: A Deep Dive into Self-Supervised Pretraining for Remote Sensing},
  author={Straka, Jakub and Gruber, Ivan},
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  year={2025}
}

@article{feng2025tessera,
  title={TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis},
  author={Feng, Zhengpeng and Jaffer, Sadiq and Knezevic, Jovana and Sormunen, Silja and Young, Robin and Lisaius, Madeline and Immitzer, Markus and Ball, James and Atzberger, Clement and Coomes, David A and others},
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  year={2025}
}

@article{brown2025alphaearth,
  title={Alphaearth foundations: An embedding field model for accurate and efficient global mapping from sparse label data},
  author={Brown, Christopher F and Kazmierski, Michal R and Pasquarella, Valerie J and Rucklidge, William J and Samsikova, Masha and Zhang, Chenhui and Shelhamer, Evan and Lahera, Estefania and Wiles, Olivia and Ilyushchenko, Simon and others},
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  year={2025}
}

@inproceedings{koyuncu2022contextformer,
  title={Contextformer: A transformer with spatio-channel attention for context modeling in learned image compression},
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  year={2022},
  organization={Springer}
}

@inproceedings{mohla2020fusatnet,
  title={Fusatnet: Dual attention based spectrospatial multimodal fusion network for hyperspectral and lidar classification},
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  year={2020}
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@ARTICLE{10261879,
  author={Wang, Yi and Braham, Nassim Ait Ali and Xiong, Zhitong and Liu, Chenying and Albrecht, Conrad M. and Zhu, Xiao Xiang},
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@inproceedings{shikhar2024evaluation,
  title={Evaluation of computer vision pipeline for farm-level analytics: A case study in sugarcane},
  author={Shikhar, Sambal and Ranjan, Rajiv and Sa, Aman and Srivastava, Anshika and Srivastava, Yash and Kumar, Dinesh and Tamaskar, Shashank and Sobti, Anupam},
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}

@article{singh20243d,
  title={3D-CTM: Unsupervised crop type mapping based on 3D convolutional autoencoder and satellite image time series},
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  year={2024},
  publisher={IEEE}
}

@inproceedings{ranjan2024prediction,
  title={Prediction of sugarcane sucrose content and optimal harvest date using multi-spectral time series image processing of satellite data},
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  booktitle={IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium},
  pages={4239--4244},
  year={2024},
  organization={IEEE}
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@inproceedings{ranjan2024evaluating,
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  year={2024},
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@inproceedings{ranjan2024stubble,
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  url={https://www.climatechange.ai/papers/neurips2024/97},
  year={2024}
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@inproceedings{ranjan2024yield,
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  booktitle={2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)},
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  year={2024}
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  year         = {2016},
  publisher    = {NASA LP DAAC},
  doi          = {10.5067/MEASURES/GFSAD/GFSAD1KCD.001},
  url          = {https://doi.org/10.5067/MEASURES/GFSAD/GFSAD1KCD.001},
  note         = {Dataset; Accessed: 2025-11-04}
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