Zobrazeno 1 - 10
of 1 538
pro vyhledávání: '"spectral features"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTDue to the generally low spatial resolution of hyperspectral images (HSIs), early multispectral images lacked corresponding panchromatic bands, and as a result, fusion methods could not be used to enhance resolution. Many researchers have pro
Externí odkaz:
https://doaj.org/article/d2f3029de9dd4baab90099d3a5a342bb
Publikováno v:
IEEE Access, Vol 12, Pp 167262-167277 (2024)
Unsupervised anomalous sound detection (ASD) identifies anomalies by learning or estimating normal operational patterns and detecting deviations. This capability is crucial for tasks, such as equipment maintenance and quality control. In this study,
Externí odkaz:
https://doaj.org/article/8c631504262449d1a516601e6f1901d5
Autor:
Muhammad Ahmad, Muhammad Usama, Manuel Mazzara, Salvatore Distefano, Hamad Ahmed Altuwaijri, Silvia Liberata Ullo
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18167-18181 (2024)
The 3-D swin transformer (3DST) and spatial–spectral transformer (SST) each excel in capturing distinct aspects of image information: the 3DST with hierarchical attention and window-based processing, and the SST with self-attention mechanisms for l
Externí odkaz:
https://doaj.org/article/db3482e359d246c78013a2c7bebf6d7a
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11016-11033 (2024)
Hyperspectral image superresolution (HSI-SR) has become an essential step of data preprocessing for tasks such as classification and change detection in remote sensing. For HSI-SR tasks, the state-of-the-art methods lie in how to learn effective spat
Externí odkaz:
https://doaj.org/article/9bf0554afaef44c0af5f9abd0880172b
Autor:
Jiewei Lu, Jingchao Wu, Zhilin Shu, Xinyuan Zhang, Haitao Li, Siquan Liang, Jianda Han, Ningbo Yu
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 923-933 (2024)
Deep brain stimulation (DBS) is establishing itself as a promising treatment for disorders of consciousness (DOC). Measuring consciousness changes is crucial in the optimization of DBS therapy for DOC patients. However, conventional measures use subj
Externí odkaz:
https://doaj.org/article/79e2025e68a34dbb9dcd479ad3a2e897
Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Survey
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3878-3916 (2024)
Hyperspectral image classification (HSIC) has become a hot research topic. Hyperspectral imaging (HSI) has been widely used in a wide range of real-world application areas due to the in-depth spectral information stored within each pixel. Noticeably,
Externí odkaz:
https://doaj.org/article/25f303af24044db496dc610b716b9f6b
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 4, Pp 102011- (2024)
Existing graph contrastive learning methods often rely on differences in node features within subgraphs, lacking effective capture of the global structural information of the graph. To address this issue, we propose a novel graph contrastive learning
Externí odkaz:
https://doaj.org/article/100049d7ce83444baac040866c2318e8
Publikováno v:
Agriculture, Vol 14, Iss 9, p 1505 (2024)
In response to the limitations of meteorological conditions in global rice growing areas and the high cost of annotating samples, this paper combines the Vertical-Vertical (VV) polarization and Vertical-Horizontal (VH) polarization backscatter featur
Externí odkaz:
https://doaj.org/article/0a0649d6bdbe4373be736dfe02d13609
Publikováno v:
Sensors, Vol 24, Iss 17, p 5797 (2024)
Emotion recognition through speech is a technique employed in various scenarios of Human–Computer Interaction (HCI). Existing approaches have achieved significant results; however, limitations persist, with the quantity and diversity of data being
Externí odkaz:
https://doaj.org/article/da699c6bcb6f44ad9da0360c944a22ed
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7361 (2024)
One primary concern in the field of remote-sensing image processing is the precise classification of hyperspectral images (HSIs). Lately, deep-learning models have demonstrated cutting-edge results in HSI classification. Despite this, researchers con
Externí odkaz:
https://doaj.org/article/2a95616dad7f49f9a890ead16adbd8df