Fine-Grained Extraction of Coastal Aquaculture Ponds From Remote Sensing Images Using an Edge-Supervised Multi-task Neural Network
Precise monitoring and extraction of coastal aquaculture ponds are crucial for ecological conservation and the sustainable use of coastal wetlands. However, traditional image analysis techniques often struggle to efficiently extract aquaculture ponds in the complex, heterogeneous environments of coa...
Saved in:
| Main Authors: | Jian Qi, Min Ji, Fengxiang Jin, Jianran Xu, Hanyu Ji, Juan Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10967498/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Particle associated denitrification in coastal aquaculture water
by: Chunyi Kuang, et al.
Published: (2025-07-01) -
Coastal aquaculture ponds represent a notable source of the blooming jellyfish Aurelia coerulea
by: Lei Wang, et al.
Published: (2025-02-01) -
Influence of aquaculture practices on microbiota composition and pathogen abundance in pond ecosystems in South China
by: Shuhui Niu, et al.
Published: (2025-05-01) -
Tropical artificial rural and urban ponds are net sources of carbon dioxide and methane in Rwanda, East Africa
by: Mabano Amani, et al.
Published: (2025-09-01) -
Geographic information system as a tool for assessing ponds and the potential for environmental impact caused by fish farming
by: Felipe Misael da Silva Morsoleto, et al.
Published: (2022-08-01)