Novel Cross-Resolution Feature-Level Fusion for Joint Classification of Multispectral and Panchromatic Remote Sensing Images

With the increasing availability and resolution of satellite sensor data, multispectral (MS) and panchromatic (PAN) images are the most popular data that are used in remote sensing among applications. This article proposes a novel cross-resolution hidden layer feature fusion (CRHFF) approach for joi...

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Vydané v:	IEEE transactions on geoscience and remote sensing Ročník 60; s. 1 - 14
Hlavní autori:	Liu, Sicong, Zhao, Hui, Du, Qian, Bruzzone, Lorenzo, Samat, Alim, Tong, Xiaohua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Classification Convolutional neural networks Data mining Feature extraction feature-level fusion Image classification Image resolution multiresolution images Object recognition Remote sensing Remote sensors Resolution Satellites shallow and deep features Spatial resolution Task analysis
ISSN:	0196-2892, 1558-0644
On-line prístup:	Získať plný text
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