September 10, 2025Advances in Engineering Technology Research

Research on the Extraction Method of Wetland River Network from Remote Sensing Image Based on MobileNetV2

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Authors

ZWZhenyu WuNanyang Technological University JZJingyi ZhangXidian University SHShanshan HongDalian University of Technology

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Implication

This research demonstrates improved river network extraction in estuarine wetlands, highlighting the efficacy of MobileNetV2 with a mean Intersection over Union of 94.5%.

Key Points

The proposed method enhances river network extraction accuracy using MobileNetV2 and a spectral attention mechanism.
Experimental results show a mean Intersection over Union of 94.5%, improving upon existing models like DeepLabV3+.
The approach reduces computational complexity through lightweight design, making it suitable for large-scale applications.
It supports ecological monitoring by effectively segmenting river networks in complex wetland environments.

Cite This Study

Wu et al. (2025) studied this question.

synapsesocial.com/papers/68c23f1fb210217d64794c40 https://doi.org/10.56028/aetr.14.1.468.2025

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Implication

This research demonstrates improved river network extraction in estuarine wetlands, highlighting the efficacy of MobileNetV2 with a mean Intersection over Union of 94.5%.

Research on the Extraction Method of Wetland River Network from Remote Sensing Image Based on MobileNetV2

Discussion

Member takes

Implication

Key Points

Cite This Study

Research on the Extraction Method of Wetland River Network from Remote Sensing Image Based on MobileNetV2

Discussion

Member takes

Implication

Key Points

Cite This Study

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