A new HSI denoising method via interpolated block matching 3D and guided filter [PDF]
PeerJ, 2021 A new hyperspectral images (HSIs) denoising method via Interpolated Block-Matching and 3D filtering and Guided Filtering (IBM3DGF) denoising method is proposed.
Ping Xu +4 more
doaj +2 more sources
Hyperspectral Image Super-Resolution Algorithm Based on Graph Regular Tensor Ring Decomposition
Remote Sensing, 2023 This paper introduces a novel hyperspectral image super-resolution algorithm based on graph-regularized tensor ring decomposition aimed at resolving the challenges of hyperspectral image super-resolution.
Shasha Sun +5 more
doaj +1 more source
Fusion of Hyperspectral and Multispectral Images Accounting for Localized Inter-image Changes
, 2021 The high spectral resolution of hyperspectral images (HSIs) generally comes at the expense of low spatial resolution, which hinders the application of HSIs.
Xu, M +9 more
core +1 more source
Intraoperative reperfusion assessment of human pancreas allografts using hyperspectral imaging (HSI) [PDF]
Hepatobiliary Surgery and Nutrition, 2022 The most common causes of early graft loss in pancreas transplantation are insufficient blood supply and leakage of the intestinal anastomosis. Therefore, it is critical to monitor graft perfusion and oxygenation during the early post-transplant period. The goal of our pilot study was to evaluate the utility of hyperspectral imaging (HSI) in monitoring
Robert, Sucher +9 more
openaire +2 more sources
Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration [PDF]
Scientific Reports, 2022 AbstractTo investigate, whether hyperspectral imaging (HSI) is able to reliably differentiate between healthy and damaged cartilage tissue. A prospective diagnostic study was performed including 21 patients undergoing open knee surgery. HSI data were acquired during surgery, and the joint surface’s cartilage was assessed according to the ICRS cartilage
Kistler, Max +6 more
openaire +4 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Hyperspectral images with very high resolution (VHR-HSI) have become considerably valuable due to their abundant spectral and spatial details. Classification of hyperspectral images (HSIs) is a basic and important procedure for diverse applications ...
Zhen Zhang +3 more
doaj +1 more source
The role of intraoperative hyperspectral imaging (HSI) in colon interposition after esophagectomy
BMC Surgery, 2023 Abstract Background Colon conduit is an alternative approach to reconstructing the alimentary tract after esophagectomy. Hyperspectral imaging (HSI) has been demonstrated to be effective for evaluating the perfusion of gastric conduits, but not colon conduits.
Anne Zimmermann +10 more
openaire +3 more sources
Spectral-Spatial Hyperspectral Unmixing Using Multitask Learning
IEEE Access, 2019 Hyperspectral unmixing is an important and challenging task in the field of remote sensing which arises when the spatial resolution of sensors is insufficient for the separation of spectrally distinct materials.
Burkni Palsson +2 more
doaj +1 more source
Nonlinear unmixing of hyperspectral images: Models and algorithms [PDF]
, 2013 When considering the problem of unmixing hyperspectral images, most of the literature in the geoscience and image processing areas relies on the widely used linear mixing model (LMM).
McLaughlin, Stephen; id_orcid +14 more
core +1 more source
Sparsity Constrained Fusion of Hyperspectral and Multispectral Images
, 2022 Fusing a Hyperspectral image (HSI) and a multispectral image (MSI) from different sensors is an economic and effective approach to get an image with both high spatial and spectral resolution, but localized changes between the multiplatform images can ...
Jia, Sen +9 more
core +1 more source