Results 31 to 40 of about 4,188 (182)
Hyperspectral Image Inpainting Based on Robust Spectral Dictionary Learning
To address the problems of defective pixels and strips in hyperspectral images affecting subsequent processing and applications, we modeled the hyperspectral image (HSI) inpainting problem as a sparse signal reconstruction problem with incomplete ...
Xiaorui Song, Lingda Wu
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Local-aware coupled network for hyperspectral image super-resolution
Despite the unprecedented success of super-resolution (SR) development for natural images, achieving hyperspectral image (HSI) SR with rich spectral characteristics remains a challenging task.
Meilin Zhang +5 more
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Fusion technology has been the core strategy to obtain a high-spatial-spectral resolution hyperspectral image (HSI). In recent years, few fusion models focused on exploiting the underlying manifold structure in the spatial dimension of the high ...
Jiawei Jiang +4 more
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Fusing Hyperspectral and Multispectral Images via Low-Rank Hankel Tensor Representation
Hyperspectral images (HSIs) have high spectral resolution and low spatial resolution. HSI super-resolution (SR) can enhance the spatial information of the scene.
Siyu Guo +5 more
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Correlation Matrix-Based Fusion of Hyperspectral and Multispectral Images
The fusion of the hyperspectral image (HSI) and the multispectral image (MSI) is commonly employed to obtain a high spatial resolution hyperspectral image (HR-HSI); however, existing methods often involve complex feature extraction and optimization steps,
Hong Lin +5 more
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Despite natural image super-resolution (SR) methods have achieved great success, super-resolution methods for hyperspectral image (HSI) with rich spectral features are still a very challenging task.
Lijing Bu +3 more
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WHU-OHS: A benchmark dataset for large-scale Hersepctral Image classification
Hyperspectral image (HSI) classification is one of the most important remote sensing techniques. Currently, the performances of most of the HSI classification networks on the public HSI datasets are overoptimistic (i.e., the overall accuracy exceeds 98 %)
Jiayi Li, Xin Huang, Lilin Tu
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Hyperspectral imaging (hsi): applications in animal and dairy sector
Hyperspectral imaging (HSI), also known as imaging spectroscopy or 3D spectroscopy, combines imaging and spectroscopy into a single system. With a high resolution measurement of spectral signatures, HSI is able to provide critical information of the target.
Abhinav Kumar +5 more
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Coastal wetlands mapping is a big challenge in remote sensing fields because of similar spectrum of different ground objects and their severe fragmentation and spatial heterogeneity.
Kai Liu +8 more
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Age prediction of hematoma using hyperspectral imaging (HSI)
Abstract Hyperspectral imaging (HSI) analyzes the reflected light spectrum of an object, providing insights into its material composition. In this experimental, prospective study, standardized hematomas were created in subjects and observed over 21 days using a portable hyperspectral camera, aiming to correlate changes in the ...
S. Al-Arami +3 more
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