Results 21 to 30 of about 10,052 (204)
Hyperspectral Imaging (HSI) in anatomic left liver resection
International Journal of Surgery Case Reports, 2019 Anatomic liver resection is based on the description of functional segments, which rely on the organs arterial and portal venous blood supply. Vascular inflow control of the left liver is performed by occlusion of the left hepatic artery (LHA) and left portal vein (LPV). Depending on the quality of the parenchyma a sharp demarcation line (Cantlie Line)
Robert Sucher +7 more
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Self-Dictionary Regression for Hyperspectral Image Super-Resolution
Remote Sensing, 2018 Due to sensor limitations, hyperspectral images (HSIs) are acquired by hyperspectral sensors with high-spectral-resolution but low-spatial-resolution. It is difficult for sensors to acquire images with high-spatial-resolution and high-spectral-resolution
Dongsheng Gao, Zhentao Hu, Renzhen Ye
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Remote Sensing, 2019 With the emergence of huge volumes of high-resolution Hyperspectral Images (HSI) produced by different types of imaging sensors, analyzing and retrieving these images require effective image description and quantification techniques.
Olfa Ben-Ahmed +3 more
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Hyperspectral Superresolution Reconstruction via Decomposition of Low-Rank and Sparse Tensor
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Hyperspectral superresolution reconstruction technique obtains a high-resolution hyperspectral image (HR-HSI) by fusing both a low-resolution hyperspectral image (LR-HSI) and a high-resolution multispectral image.
Huajing Wu +4 more
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Remote Sensing, 2019 Hyperspectral image (HSI) classification is one of the most active topics in remote sensing. However, it is still a nontrivial task to classify the hyperspectral data accurately, since HSI always suffers from a large number of noise pixels, the ...
Fuding Xie +3 more
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Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods [PDF]
, 2013 Hyperspectral images show similar statistical properties to natural grayscale or color photographic images. However, the classification of hyperspectral images is more challenging because of the very high dimensionality of the pixels and the small number
Benediktsson, Jón Atli +3 more
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HSI-IPGAN: Hyperspectral Image Inpainting via Generative Adversarial Network
, 2023 Abstract Due to the instability of the hyperspectral imaging system and the atmospheric interference, hyperspectral images (HSIs) often suffer from losing the image information of areas with different shapes, which significantly degrades the data quality and further limits the effectiveness of methods for subsequent tasks.
Hu Chen +4 more
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Hyperspectral Image Study based on Deep Learning Model HSI-ConvNext
Transactions on Computer Science and Intelligent Systems Research, 2023 In recent years, deep learning techniques have made significant research progress in the field of hyperspectral image processing. Hyperspectral images are widely used in agriculture, environmental monitoring, geological exploration and other fields due to their richness in material and spectral information about objects.
Zhonghui Bian +3 more
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Hyperspectral Super-Resolution Technique Using Histogram Matching and Endmember Optimization
Applied Sciences, 2019 In most hyperspectral super-resolution (HSR) methods, which are techniques used to improve the resolution of hyperspectral images (HSIs), the HSI and the target RGB image are assumed to have identical fields of view.
Byunghyun Kim, Soojin Cho
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Hyperspectral imaging applied to end-of-life (EOL) concrete recycling [PDF]
, 2015 The recovery of materials from DW is an important target of the recycling industry and it is important to know which materials are presents in order to set up efficient sorting and/or quality control actions.
Bonifazi, Giuseppe +2 more
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