LinkNet-Spectral-Spatial-Temporal Transformer Based on Few-Shot Learning for Mangrove Loss Detection with Small Dataset
Mangroves grow in intertidal zones in tropical and subtropical regions, offering numerous advantages to humans and ecosystems. Mangrove monitoring is one of the important tasks to understand the current status of mangrove forests regarding their loss issues, including deforestation and degradation....
Main Authors: | Ilham Adi Panuntun, Ilham Jamaluddin, Ying-Nong Chen, Shiou-Nu Lai, Kuo-Chin Fan |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-03-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/16/6/1078 |
Similar Items
-
VEHICLE DETECTION AND IDENTIFICATION WITH SMALL DATASET USING FEW-SHOT LEARNING
by: Muzakki Afandi, et al.
Published: (2023-12-01) -
Multi-Similarity Enhancement Network for Few-Shot Segmentation
by: Hao Chen, et al.
Published: (2023-01-01) -
Multilevel Features-Guided Network for Few-Shot Segmentation
by: Chenjing Xin, et al.
Published: (2022-10-01) -
Filtering Specialized Change in a Few-Shot Setting
by: Martin Hermann, et al.
Published: (2023-01-01) -
Dataset Bias Prediction for Few-Shot Image Classification
by: Jang Wook Kim, et al.
Published: (2023-05-01)