Results 31 to 40 of about 6,341 (223)
Hyperspectral Imaging (HSI) in anatomic left liver resection
International Journal of Surgery Case Reports, 2019 Abstract Introduction 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 ...
Sucher, Robert +7 more
openaire +2 more sources
Learning a Model-Based Deep Hyperspectral Denoiser from a Single Noisy Hyperspectral Image
, 2021 Hyperspectral image (HSI) denoising is a crucial preprocessing procedure to improve the quality of HSI. Model-based methods take the degradation model and the structure of underlying clean HSI into account for denoising but require a large number of ...
Shuyin Tao +11 more
core +1 more source
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
doaj +1 more source
MFFCG – Multi feature fusion for hyperspectral image classification using graph attention network
, 2023 Classification methods that are based on hyperspectral images (HSIs) are playing an increasingly significant role in the processes of target detection, environmental management, and mineral mapping as a result of the fast development of hyperspectral ...
Wu, Guilu +7 more
core +1 more source
Non-local similarity based tensor decomposition for hyperspectral image denoising [PDF]
, 2017 Compared to traditional color or grayscale images, hyperspectral image (HSI) can help deliver more faithful representation of ground objects and enhance the performance of many computer vision tasks.
Jun Zhou +5 more
core +1 more source
Contrastive Learning Based on Transformer for Hyperspectral Image Classification
Applied Sciences, 2021 Recently, deep learning has achieved breakthroughs in hyperspectral image (HSI) classification. Deep-learning-based classifiers require a large number of labeled samples for training to provide excellent performance.
Xiang Hu +4 more
doaj +1 more source
Hyperspectral Image Inpainting Based on Robust Spectral Dictionary Learning
Applied Sciences, 2019 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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IEEE Access, 2021 The identification of tree species is of great significance to the sustainable management and utilization of forest ecosystems. Hyperspectral data provide sufficient spectral and spatial information to classify tree species. Convolutional neural networks
Yun Shi, Donghui Ma, Jie Lv, Jie Li
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EnMAP: hyperspectral Imager (HSI) for Earth observation: current status [PDF]
International Conference on Space Optics — ICSO 2018, 2019 The Environmental Mapping and Analysis Program (EnMAP) is a German space borne science mission that aims at characterizing the Earth’s environment on a global scale. The single payload of the satellite is the Hyperspectral Imager (HSI). It is capable of measuring the solar radiance reflected from the Earth’s surface as a continuous spectrum in the ...
Martin Mücke +5 more
openaire +1 more source
Local-aware coupled network for hyperspectral image super-resolution
GIScience & Remote Sensing, 2023 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
doaj +1 more source