An attention-driven global reasoning network for hyperspectral image classification
Sign Up to like & getrecommendations! Published in 2025 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2025.2535743
Abstract: ABSTRACT Hyperspectral images (HSI) contain rich spectral information essential for real-world applications, but traditional methods struggle with limited training data and complexity. Convolutional neural networks (CNNs) also face challenges in capturing global features. This letter… read more here.
Keywords: classification; reasoning; attention driven; global reasoning ... See more keywords
A Hybrid CNN Based on Global Reasoning for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3199208
Abstract: In recent years, convolutional neural networks (CNNs) have been widely used in hyperspectral images (HSIs) classification. However, 2-D CNN, 3-D CNN, and even the newly emerged hybrid CNN (HCNN) all require multiple or deep CNN… read more here.
Keywords: hcnn; classification; hybrid cnn; based global ... See more keywords
Knowledge-aware Global Reasoning for Situation Recognition.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3238699
Abstract: The task of situation recognition aims to solve the visual reasoning problem with the ability to predict the activity happening (salient action) in an image and the nouns of all associated semantic roles playing in… read more here.
Keywords: knowledge; situation recognition; reasoning; global reasoning ... See more keywords