Results 121 to 130 of about 2,924,189 (218)

3-D Sharpened Cosine Similarity Operation for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Due to the advantage of high spectral resolution, hyperspectral imaging techniques have been extensively used in a variety of fields. Hyperspectral images (HSIs) classification is one of the fundamental tasks and attracts significant research interest ...
Xin Qiao, Swalpa Kumar Roy, Weimin Huang
doaj   +1 more source

In ovo sexing with Hyperspectral Imaging (HSI): A nondestructive and non-invasive method

Agroindustrial Science
Poultry farming worldwide presents great development; however, one of the great limitations is the determination of the sex of the embryo in ovo, because on farms birds are raised for two purposes, egg production or meat production, so there is a sex preference.
Juan Ernesto Hernandez-Valdez, Daniel Castro-Salinas, Cesar Eduardo Honorio-Javes, Fredy Marcial Pajuelo-Risco   +3 more
openaire   +1 more source

Hyperspectral colon tissue cell classification [PDF]

, 2004
A novel algorithm to discriminate between normal and malignant tissue cells of the human colon is presented. The microscopic level images of human colon tissue cells were acquired using hyperspectral imaging technology at contiguous wavelength intervals ...
Rajpoot, Nasir M. (Nasir Mahmood), Turner, Martin J., Rajpoot, Kashif   +2 more
core  

Unsupervised Scale-Conditioned Hyperspectral and Multispectral Image Fusion via a Frequency–Spatial Dual-Domain Network

Remote Sensing
Hyperspectral–multispectral image fusion reconstructs high-spatial-resolution hyperspectral images (HR-HSIs) by combining low-resolution hyperspectral images (LR-HSIs) with high-resolution multispectral images (HR-MSIs). Many methods only support integer
Peng Tang, Ke Zheng, Jiaxin Li, Haoyang Yu, Xu Sun   +4 more
doaj   +1 more source

Multiple-instance ensemble learning for hyperspectral images

, 2017
An ensemble framework for multiple-instance (MI) learning (MIL) is introduced for use in hyperspectral images (HSIs) by inspiring the bagging (bootstrap aggregation) method in ensemble learning.
Ergul, Uğur, Ugur Ergul, Bilgin, Gökhan, Gokhan Bilgin   +3 more
core   +1 more source

Hyperspectral Imaging for Peach Ripening Assessment [PDF]

, 2010
The present research is focused on the application of artificial vision to peach ripening assessment, avoiding multiplicative and additive effect. Original images were acquired with a hyperspectral camera.
Diezma Iglesias, Belen, Roger, Jean-Michel, Lleó García, Lourdes, Herrero Langreo, Ana   +3 more
core  

Detection of grain pests in cereals: 1. The potential of hyperspectral imaging (HSI)

La présence d'insectes dans les lots commercialisés est économiquement pénalisante pour les opérateurs. La détection rapide de la présence d'insectes présente un intérêt majeur. Le potentiel de l'imagerie hyperspectrale a été testé pour quantifier des adultes vivants ou morts et des larves de Sitophilus. oryzae, Rhyzoperta.
Faure, Marlène, Bendoula, Ryad, Ammari, Faten, Maudemain, Séverine, Crepon, Katell   +4 more
openaire   +1 more source

Removing fringes from hyperspectral images using truncated singular value decomposition. [PDF]

Opt Express
Kim D, Lee YJ.
europepmc   +1 more source

Multi-spatial resolution hyperspectral image change detection network integrating feature difference structure. [PDF]

PLoS One
Xiao Y, Yu S, Li W, Xiao H, Chen Y, Zhou H, Yang L.   +6 more
europepmc   +1 more source

Degradation-Aware Dynamic Kernel Generation Network for Hyperspectral Super-Resolution. [PDF]

Sensors (Basel)
Liu H, Liang H, Wang Q.
europepmc   +1 more source