TCSPANet: Two-Staged Contrastive Learning and Sub-Patch Attention Based Network for PolSAR Image Classification

TCSPANet: Two-Staged Contrastive Learning and Sub-Patch Attention Based Network for PolSAR Image Classification

Polarimetric synthetic aperture radar (PolSAR) image classification has achieved great progress, but there still exist some obstacles. On the one hand, a large amount of PolSAR data is captured. Nevertheless, most of them are not labeled with land cover categories, which cannot be fully utilized. On...

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Bibliographic Details
Main Authors: Yuanhao Cui, Fang Liu, Xu Liu, Lingling Li, Xiaoxue Qian
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Remote Sensing
Subjects:
classification
patch-level
polrimetric synthetic apeture radar (PolSAR)
sub-patch attention encoder (SPAE)
transformer
two-staged contrastive learning based network (TCNet)
Online Access:https://www.mdpi.com/2072-4292/14/10/2451

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https://www.mdpi.com/2072-4292/14/10/2451

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