A Novel Feature Fusion Approach for VHR Remote Sensing Image Classification

This article develops a robust feature fusion approach to enhance the classification performance of very high resolution (VHR) remote sensing images. Specifically, a novel two-stage multiple feature fusion (TsF) approach is proposed, which includes an intragroup and an intergroup feature fusion stag...

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Detalles Bibliográficos

Principais autores:	Sicong Liu, Yongjie Zheng, Qian Du, Alim Samat, Xiaohua Tong, Michele Dalponte
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2021-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Classification feature fusion guided filtering (GF) spectral-spatial features very high resolution (VHR) image
Acceso en liña:	https://ieeexplore.ieee.org/document/9277624/
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