Super-Resolution Water Body Extraction Based on MF-SegFormer-Reference-Cited by-同舟云学术

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Super-Resolution Water Body Extraction Based on MF-SegFormer

Published:2024-07-07 Issue: Volume:34 Page:9848-9852
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Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Zhang Tianyi¹,Li Weibin¹,Feng Xihui²,Ren Yi³,Qin Chenhao¹,Ji Wenbo¹,Yang Xin⁴

Affiliation:

1. Xidian University,School of Artificial Intelligence,Xi’an,China,710071

2. Ministry of Natural Resources,Key Lab. of Coal Resources Exploration and Comprehensive Utilization,Xi’an,China,710021

3. Xidian University,Lab. of AI, Hangzhou Institute of Technology,Hangzhou,China,311231

4. Anhui Key Laboratory of Nutrient Cycling, Resources and Environment,Hefei,China,230031

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10640498.pdf?arnumber=10640498

Reference13 articles.

1. Water Body Extraction of the Weihe River Basin Based on MF-SegFormer Applied to Landsat8 OLI Data

2. Long-term dense Landsat observations reveal detailed waterbody dynamics and temporal changes of the size-abundance relationship

3. Remote sensing prediction of global subsurface thermohaline and the impact of longitude and latitude based on LightGBM

4. Predicting subsurface thermohaline structure from remote sensing data based on long short-term memory neural networks

5. Time series of the Inland Surface Water Dataset in China (ISWDC) for 2000–2016 derived from MODIS archives

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