Results 91 to 100 of about 11,517,403 (217)

Hyperspectral image unmixing using a multiresolution sticky HDP [PDF]

, 2012
This paper is concerned with joint Bayesian endmember extraction and linear unmixing of hyperspectral images using a spatial prior on the abundance vectors.We propose a generative model for hyperspectral images in which the abundances are sampled from a ...
Hero, Alfred O., Dobigeon, Nicolas, Hero, Alfred, Mittelman, Roni   +3 more
core   +1 more source

Determination of dry bean physiological maturity from UAS RGB time series using a stacking ensemble of color‐derived spectral features

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Evaluating physiological maturity is an important trait in dry bean breeding (Phaseolus vulgaris L.), but field scoring can be inaccurate, subjective, and a persistent bottleneck in multi‐environment trials. To address this, we developed a low‐cost, high‐throughput pipeline that predicts plot‐level days after planting at maturity from time ...
Aliasghar Bazrafkan, Lovepreet Singh, John Hawkins, Evan M. Wright, Valerio Hoyos‐Villegas   +4 more
wiley   +1 more source

Real HSI-MSI-PAN image dataset for the hyperspectral/multi-spectral/panchromatic image fusion and super-resolution fields [PDF]

Nowadays, most of the hyperspectral image (HSI) fusion experiments are based on simulated datasets to compare different fusion methods. However, most of the spectral response functions and spatial downsampling functions used to create the simulated ...
Li, Shuangliang
core   +1 more source

Transformer-Based Diffusion and Spectral Priors Model for Hyperspectral Pansharpening

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral pansharpening aims to fuse a high-resolution panchromatic image (HR-PCI) with a low-resolution hyperspectral image (LR-HSI) to produce a high-resolution hyperspectral image (HR-HSI).
Hongcheng Jiang, Zhiqiang Chen
doaj   +1 more source

Genomic and phenomic prediction models improve selection accuracy for complex traits in alfalfa

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Predictive breeding has been proposed as an effective approach to accelerate genetic gain for complex traits. Genomic prediction (GP) models have been developed in alfalfa (Medicago sativa L.) for key traits in the last decade. More recently, phenomic prediction (PP) models have been proposed as a low‐cost, high‐throughput alternative to GP in
Pablo Sipowicz, Ayush K. Sharma, Mario H. Andrade, Claudio C. Fernandes Filho, L. Felipe V. Ferrão, Aditya Singh, Anju Biswas, Charlie Messina, Esteban Rios   +8 more
wiley   +1 more source

Vision Transformer-Based Ensemble Learning for Hyperspectral Image Classification

, 2023
Hyperspectral image (HSI) classification, due to its characteristic combination of images and spectra, has important applications in various fields through pixel-level image classification.
Yile He, Haoran Guo, Huali Li, Jun Liu
core   +1 more source

Multistage Nonlinear Transform Tensor Nuclear Norm for Hyperspectral Image Super-Resolution

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image super-resolution (HSI-SR) aims to reconstruct a high-resolution hyperspectral image by fusing a low-resolution hyperspectral image with a high-resolution multispectral image.
Zhihui Tu, Yisha Gao, Susu Lv, Wenyu Hu, Jian Lu   +4 more
doaj   +1 more source

Protein Corona‐Coated Crystal Silica From Sandstorms Amplifies Allergic Rhinitis by Regulating Epithelial Integrity in Mice and Human Nasal Epithelia

Allergy, EarlyView.
Cuishuang Dong, Xu Zhang, Haoyue Wang, Jiajing Cui, Shuai Han, Yibo Wang, Huanying Zhao, Yang Song, Yuan Zhang, Xiaobo Li   +9 more
wiley   +1 more source

What Are Computer‐Assisted Methods Achieving in Fine‐Needle Aspiration Cytology of the Pancreas? A Systematic Review and Meta‐Analysis

Cytopathology, Volume 37, Issue 6, Page 587-602, November 2026.
This meta‐analysis demonstrates high diagnostic accuracy of computer‐assisted methods in pancreatic EUS‐FNA cytology (AUC 0.92–0.96) and supports an integrated, cytopathologist‐led workflow in which artificial intelligence functions as an adjunct to diagnostic interpretation and on‐site evaluation (ROSE). Created in BioRender. Mohamed Mirzan, A. (2026)
Al‐Amaan Mohamed Mirzan, Roberto Dina
wiley   +1 more source

Triplet Constrained Deep Feature Extraction for Hyperspectral Image Classification

, 2018
Convolutional neural networks (CNNs) have demonstrated significant performance in various visual recognition problems in recent years. Recent research has shown that training multilayer neural networks can extensively improve the performance of ...
Zhou, Jun, Alam, Fahim, Jo, Jun, Liew, Wee Chung, Gao, Yongsheng, Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Jun Jo, Yongsheng Gao   +9 more
core   +1 more source