Multiscale Normalization Attention Network for Water Body Extraction from Remote Sensing Imagery

Multiscale Normalization Attention Network for Water Body Extraction from Remote Sensing Imagery

Extracting water bodies is an important task in remote sensing imagery (RSI) interpretation. Deep convolution neural networks (DCNNs) show great potential in feature learning; they are widely used in the water body interpretation of RSI. However, the accuracy of DCNNs is still unsatisfactory due to...

Full description

Bibliographic Details
Main Authors: Xin Lyu, Yiwei Fang, Baogen Tong, Xin Li, Tao Zeng
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
remote sensing imagery
water body extraction
multiscale normalization attention
multiscale feature
accuracy
Online Access:https://www.mdpi.com/2072-4292/14/19/4983

Similar Items

Similar Items