DECT: Diffusion-Enhanced CNN–Transformer for Multisource Remote Sensing Data Classification

Methods for joint classification of hyperspectral images (HSIs) with high dimensionality and spectral correlation and other sensor data (e.g., optical, infrared, radar, etc.) are important directions in the field of remote sensing. To better learn the feature representation of diffusion features (HS...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Guanglian Zhang, Lan Zhang, Zhanxu Zhang, Jiangwei Deng, Lifeng Bian, Chen Yang
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	CNN diffusion light detection and ranging (LiDAR) multisource remote sensing (RS) classification synthetic aperture radar (SAR) transformer
Online Access:	https://ieeexplore.ieee.org/document/10716525/