GrapHiSM: a graph-based hierarchical semantics-driven model for aerial scene classification under scarcity of labelled samples

Author:

Das MonidipaORCID,Dutta Suparna

Funder

Department of Science and Technology, Government of India

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference27 articles.

1. Cheng G, Li Z, Yao X et al (2017) Remote sensing image scene classification using bag of convolutional features. IEEE Geosc Remote Sens Lett 14(10):1735–1739

2. Das M, Ghosh SK (2016) A cost-efficient approach for measuring moran’s index of spatial autocorrelation in geostationary satellite data. In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, pp 5913–5916

3. Dawn S, Das M, Bandyopadhyay S (2023) Soura: a user-reliability-aware social recommendation system based on graph neural network. Neural Comput Appl 1–19

4. Dutta S, Das M (2021) PReLim: A modeling paradigm for remote sensing image scene classification under limited labeled samples. In: In Proceedings of the 9th International Conference on Pattern Recognition and Machine Intelligence, Kolkata. Springer. https://drive.google.com/file/d/1QTkV_m7tPZc67jhLC9OwstShCk6km54e/view?usp=sharing

5. Gao Y, Li W, Zhang M et al (2021) Hyperspectral and multispectral classification for coastal wetland using depthwise feature interaction network. IEEE Trans Geosci Remote Sens 60:1–15

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