Results 81 to 90 of about 2,627,069 (171)
Diabetes/Metabolism Research and Reviews, Volume 42, Issue 6, September 2026.ABSTRACT Background Diabetic foot ulcers (DFUs) have become an important cause of disability and death in patients with diabetes. Traditional therapies are prone to problems such as recurrence and drug resistance, which result in unsatisfactory healing effects for DFUs.
Yiran Wang +4 more
wiley +1 more source
Food Science &Nutrition, Volume 14, Issue 9, September 2026.This work presents a nondestructive strategy for identifying frost‐damaged maize kernels using hyperspectral imaging (900–1700 nm) combined with 2D‐COS‐assisted deep learning. MSC preprocessing was adopted, and 432 frost‐damage‐related characteristic bands were extracted by 2D‐COS.
Jiaxuan Nan +7 more
wiley +1 more source
GCB Bioenergy, Volume 18, Issue 9, September 2026.Microalgal bioproduct production is constrained by high cultivation costs. Integrating automated photobioreactors, real‐time pH, light and temperature control, AI‐driven automation, and electronic data logging enables smart cultivation, reduces manual intervention, improves process efficiency, and supports cost‐effective, scalable microalgal bioproduct
Angela Paul Peter +6 more
wiley +1 more source
Supervised nonlinear spectral unmixing using a post-nonlinear mixing model for hyperspectral imagery [PDF]
, 2011 This paper presents a nonlinear mixing model for hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are nonlinear functions of pure spectral components contaminated by an additive white Gaussian noise.
Altmann, Yoann +9 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 +4 more
core +1 more source
Seeing the unseen: hyperspectral imaging opens a new window into the root economics space
New Phytologist, EarlyView.
Boris Rewald
wiley +1 more source
Enhancing hyperspectral image unmixing with spatial correlations [PDF]
, 2010 This paper describes a new algorithm for hyperspectral image unmixing. Most unmixing algorithms proposed in the literature do not take into account the possible spatial correlations between the pixels.
Jean-Yves Tourneret +5 more
core +1 more source
An object-based approach to quantity and quality assessment of heathland habitats in the framework of natura 2000 using hyperspectral airborne ahs images [PDF]
, 2010 : Straightforward mapping of detailed heathland habitat patches and their quality using remote sensing is hampered by (1) the intrinsic property of a high heterogeneity in habitat species composition (i.e.
Spanhove, T. +11 more
core
Bayesian estimation of linear mixtures using the normal compositional model. Application to hyperspectral imagery [PDF]
, 2010 This paper studies a new Bayesian unmixing algorithm for hyperspectral images. Each pixel of the image is modeled as a linear combination of so-called endmembers.
Eches, Olivier +3 more
core +1 more source
Multiorder Graph Convolutional Network With Channel Attention for Hyperspectral Change Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral change detection (CD) aims to obtain the change information of objects in the multitemporal hyperspectral images (HSIs). Recently, with the advantages in fully extracting the image features of irregular areas, the graph convolutional ...
Yuxiang Zhang +3 more
doaj +1 more source