MCPT: Mixed Convolutional Parallel Transformer for Polarimetric SAR Image Classification

MCPT: Mixed Convolutional Parallel Transformer for Polarimetric SAR Image Classification

Vision transformers (ViT) have the characteristics of massive training data and complex model, which cannot be directly applied to polarimetric synthetic aperture radar (PolSAR) image classification tasks. Therefore, a mixed convolutional parallel transformer (MCPT) model based on ViT is proposed fo...

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Bibliographic Details
Main Authors: Wenke Wang, Jianlong Wang, Bibo Lu, Boyuan Liu, Yake Zhang, Chunyang Wang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
polarimetric SAR
convolutional neural network
vision transformer
mixed depthwise convolution tokenization
parallel encoder
global average pooling
Online Access:https://www.mdpi.com/2072-4292/15/11/2936

Internet

https://www.mdpi.com/2072-4292/15/11/2936

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