Hyperspectral Image Spectral–Spatial Classification Method Based on Deep Adaptive Feature Fusion

Convolutional neural networks (CNNs) have been widely used in hyperspectral image (HSI) classification. Many algorithms focus on the deep extraction of a single kind of feature to improve classification. There have been few studies on the deep extraction of two or more kinds of fusion features and t...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Caihong Mu [verfasserIn]

Yijin Liu [verfasserIn]

Yi Liu [verfasserIn]

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2021

Schlagwörter:

hyperspectral image classification

adaptive feature fusion

multi-feature fusion

multi-scale and multi-level feature extraction model

Übergeordnetes Werk:

In: Remote Sensing - MDPI AG, 2009, 13(2021), 4, p 746

Übergeordnetes Werk:

volume:13 ; year:2021 ; number:4, p 746

Links:

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Journal toc

DOI / URN:

10.3390/rs13040746

Katalog-ID:

DOAJ087054620

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