TENet: A Texture-Enhanced Network for Intertidal Sediment and Habitat Classification in Multiband PolSAR Images

This paper proposes a texture-enhanced network (TENet) for intertidal sediment and habitat classification using multiband multipolarization synthetic aperture radar (SAR) images. The architecture introduces the texture enhancement module (TEM) into the UNet framework to explicitly learn global textu...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Di Zhang, Wensheng Wang, Martin Gade, Huihui Zhou
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Subjects:	SAR intertidal zones texture enhancement classification multiband multipolarization
Online Access:	https://www.mdpi.com/2072-4292/16/6/972