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Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification · The demo of "Dual Graph Convolutional Network for Hyperspectral Image ...
A novel spectral-spatial domain attention network (SSDA) is proposed for HSI few-shot classification, which can transfer the learned classification knowledge ...
Apr 23, 2019 · In this study, we propose a spectral-spatial attention network for hyperspectral image classification. In our method, RNN with attention can learn inner ...
These pixels, named interfering pixels, will weaken the discrimination of spectral-spatial features and reduce classification accuracy. In this article, a ...
May 3, 2024 · This paper proposes a hyperspectral image classification method based on attention subdomain adaptation(ASDA).
A joint spatial-spectral hyperspectral image classification framework based on convolutional neural network is proposed.
Abstract. Hyperspectral image (HSI) can provide rich spectral information, which can be helpful for accurate classification in many applications.
Missing: Cross- Domain
Aug 31, 2021 · This paper proposes an asymmetric coordinate attention spectral-spatial feature fusion network (ACAS2F2N) to capture distinguishing hyperspectral features.
The proposed network is a two-branch network that integrates the self-attention mechanism of the Transformer to extract spectral features from HSI and spatial ...
Dec 8, 2022 · Abstract—Recent studies have shown that deep domain adap- tation (DA) techniques have good performance on cross-domain hyperspectral image ...