LiteCCLKNet: A lightweight criss‐cross large kernel convolutional neural network for hyperspectral image classification
Abstract High‐performance convolutional neural networks (CNNs) stack many convolutional layers to obtain powerful feature extraction capability, which leads to huge storing and computational costs. The authors focus on lightweight models for hyperspectral image (HSI) classification, so a novel light...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2023-10-01
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Series: | IET Computer Vision |
Subjects: | |
Online Access: | https://doi.org/10.1049/cvi2.12218 |