BathyFormer: A Transformer-Based Deep Learning Method to Map Nearshore Bathymetry with High-Resolution Multispectral Satellite Imagery

Accurate mapping of nearshore bathymetry is essential for coastal management, navigation, and environmental monitoring. Traditional bathymetric mapping methods such as sonar surveys and LiDAR are often time-consuming and costly. This paper introduces BathyFormer, a novel vision transformer- and enco...

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Bibliographic Details
Main Authors: Zhonghui Lv, Julie Herman, Ethan Brewer, Karinna Nunez, Dan Runfola
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Remote Sensing
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Online Access:https://www.mdpi.com/2072-4292/17/7/1195
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