Results 81 to 90 of about 2,924,189 (218)

Hyperspectral Image Super-Resolution Inspired by Deep Laplacian Pyramid Network

Remote Sensing, 2018
Existing hyperspectral sensors usually produce high-spectral-resolution but low-spatial-resolution images, and super-resolution has yielded impressive results in improving the resolution of the hyperspectral images (HSIs).
Zhi He, Lin Liu
doaj   +1 more source

Enhanced Esophageal Cancer Detection Using Spectrum‐Aided Vision Enhancer: A Comparative Study of White Light Imaging, Narrow‐Band Imaging, and Algorithmic Narrow‐Band Imaging‐Like Imaging

DEN Open, Volume 7, Issue 1, April 2027.
ABSTRACT Background and Aims Esophageal squamous cell carcinoma (ESCC) detection is crucial for improving survival. While narrow‐band imaging (NBI) improves mucosal visualization, limitations remain. We evaluated the diagnostic performance of the Spectrum‐Aided Vision Enhancer (SAVE), an algorithmic NBI‐like technology reconstructed from white light ...
Jer‐Wei Wu, Yao‐Kuang Wang, Arvind Mukundan, Riya Karmakar, Nguyen Ngoc Quynh Nhu, Yaswanth Nagisetti, Wei‐Chih Liao, Ming‐Lun Han, I‐Chen Wu, Hsiang‐Chen Wang   +9 more
wiley   +1 more source

Hyperspectral Image Restoration with Self-supervised Learning: A Two-stage Training Approach

, 2021
Hyperspectral image (HSI) denoising is a crucial preprocessing task to improve the performance of the subsequent HSI interpretation and applications.
Chen, L, Zhou, J, Zhu, H, Qian, Y, Jun Zhou, Yuntao Qian, Ling Chen, Honglin Zhu   +7 more
core   +1 more source

Non‐Destructive Analysis of Phenolic and Flavonoid Contents in Medicinal Plant Powders Using Hyperspectral Imaging and Variable Selection

Analytical Science Advances, Volume 7, Issue 2, December 2026.
ABSTRACT Phenolic and flavonoid contents in medicinal plants are essential to their growth and development and provide numerous health benefits, yet their quantification using traditional wet chemistry is labor‐intensive and time‐consuming. This study utilized the combination of two benchtop hyperspectral imaging (HSI) systems, namely short‐wave ...
Rahul Joshi, Sushma Kholiya, Himanshu Pandey, Mahipal Singh, Ameeta Tiwari, Jinsu Lim, Ramaraj Sathasivam, Mohammad Akbar Faqeerzada, Sang Un Park, Byoung‐Kwan Cho   +9 more
wiley   +1 more source

Spectral unmixing of hyperspectral images based on block sparse structure

, 2023
Spectral unmixing (SU) of hyperspectral images (HSIs) is one of the important areas in remote sensing (RS) that needs to be carefully addressed in different RS applications.
Azarang S. H. M., Zayyani H., Roozbeh Rajabi Toostani, Zehtabian A., Amin Zehtabian, Roozbeh Rajabi, Seyed Hossein Mosavi Azarang, Hadi Zayyani   +7 more
core   +1 more source

Multifiltering MLP for Spectral Super-Resolution With Remote Sensing Image Verification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Spectral super-resolution (SSR) has become an attractive approach to reconstructing hyperspectral images (HSIs) from more available RGB images or multispectral images owing to the powerful representation capability of deep learning.
Gong Li, Yihong Leng, Zhiyuan Zhang, Gang Wan, Jiaojiao Li   +4 more
doaj   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery [PDF]

, 2009
This paper studies a fully Bayesian algorithm for endmember extraction and abundance estimation for hyperspectral imagery. Each pixel of the hyperspectral image is decomposed as a linear combination of pure endmember spectra following the linear mixing ...
N. Dobigeon, Coulon, Martial, Hero, Alfred O., A.O. Hero, Dobigeon, Nicolas, Tourneret, Jean-Yves, M. Coulon, Hero, Alfred, J.-Y. Tourneret, S. Moussaoui, Moussaoui, Said   +10 more
core   +1 more source

Hyperspectral Imaging (HSI) of Human Kidney Allografts

, 2021
Zusammenfassung der Arbeit /Dissertation zur Erlangung des akademischen Grades Dr. med. Hyperspectral Imaging (HSI) of Human Kidney Allografts Die HSI Bildgebung ist ein nichtinvasives Instrument zur quantitativen Bewertung der Sauerstoffanreicherung parenchymatöser Organe, der Mikroperfusion von Transplantaten sowie zur Messung der Hämoglobin- und ...
openaire   +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