Unlocking the capabilities of explainable few‑shot learning in remote sensing

Recent advancements have significantly improved the efficiency and effectiveness of deep learning methods for image-based remote sensing tasks. However, the requirement for large amounts of labeled data can limit the applicability of deep neural networks to existing remote sensing datasets. To ov...

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Bibliographic Details
Main Authors: Lee, Gao Yu, Dam, Tanmoy, Md Meftahul Ferdaus, Poenar, Daniel Puiu, Duong, Vu N.
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/178366
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Institution: Nanyang Technological University
Language: English
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