Results 101 to 110 of about 5,679 (259)

Unsupervised Hyperspectral Band Selection using Clustering and Single-Layer Neural Network

Revue Française de Photogrammétrie et de Télédétection, 2018
Hyperspectral images provide rich  spectral details of the observed scene by exploiting contiguous bands. But, the processing of such images becomes heavy, due to the high dimensionality.
Mateus Habermann, Vincent Frémont, Elcio Hideiti Shiguemori   +2 more
doaj   +1 more source

Discriminating Chemoresistant and Chemosensitive Tubo‐Ovarian High‐Grade Serous Carcinoma Cells With Raman Microscopy

Journal of Raman Spectroscopy, EarlyView.
Confocal Raman microscopy combined with multivariate analysis distinguishes cisplatin‐resistant and ‐sensitive tubo‐ovarian high‐grade serous carcinoma cell lines. ABSTRACT Chemoresistance is a major obstacle to effective cancer treatment, particularly in tubo‐ovarian high‐grade serous carcinoma (HGSC), the most lethal gynaecological malignancy ...
Elina Harju, Parisa Movahedi, Teemu Tomberg, Sara J. Fraser‐Miller, Francesco Piga, Jukka Saarinen, Kathleen J. Sircombe, Jacopo Zini, Jukka Heikkonen, Anna Laury, Sarah Hook, Keith C. Gordon, Tapio Pahikkala, Clare J. Strachan   +13 more
wiley   +1 more source

Models of DG‐Carbon Bands in Raman Spectra: Effects of Basis Functions and Initial Values on the Uniqueness and S/N of Fits Obtained for Atmospheric Aerosol Using Automated Methods

Journal of Raman Spectroscopy, EarlyView.
Raman spectra containing D/G features are fit using combinations of basis functions and initial conditions. Fits with two Lorentzian functions converged to a single optimized fit even with variation of initial peak positions. For five‐band fits, sometimes the final fit varied with initial conditions, and constraints on peak center position were ...
David C. Doughty, Steven C. Hill
wiley   +1 more source

Deep Spectral Feature Learning With Evolutionary Band Selection for Environmental Monitoring of Plastic Debris

IEEE Access
The proliferation of plastic debris in terrestrial and aquatic environments poses significant ecological and monitoring challenges worldwide. Hyperspectral imaging (HSI) provides fine-grained spectral signatures that enable the reliable identification of
R. Anand
doaj   +1 more source

Mycotoxin management in the cereal supply chain: Advanced detection, detoxification, and smart packaging strategies

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Mycotoxins remain a persistent threat to the safety and quality of cereal grains and other agricultural products, and their impact on human health continues to raise global concerns. In many situations, the practices traditionally used to control these toxins are no longer sufficiently effective. They can be costly, difficult to implement on a
Abolfazl Asqardokht‐Aliabadi, Dipendra Kumar Mahato, Jafar Mohammadzadeh Milani   +2 more
wiley   +1 more source

Ensemble Identification of Spectral Bands Related to Soil Organic Carbon Levels over an Agricultural Field in Southern Ontario, Canada

Remote Sensing, 2019
The recent use of hyperspectral remote sensing imagery has introduced new opportunities for soil organic carbon (SOC) assessment and monitoring.
Ahmed Laamrani, Aaron A. Berg, Paul Voroney, Hannes Feilhauer, Line Blackburn, Michael March, Phuong D. Dao, Yuhong He, Ralph C. Martin   +8 more
doaj   +1 more source

Band Selection for Hyperspectral Imagery Using Affinity Propagation

2008 Digital Image Computing: Techniques and Applications, 2008
Hyperspectral imagery generally contains enormous amounts of data due to hundreds of spectral bands. Band selection is often adopted firstly to reduce computational cost and accelerate knowledge discovery of subsequent classificationand analysis. Recently, a new clustering algorithm, named "affinity propagation," is proposed. Different from the popular
Sen Jia 0001, Yuntao Qian, Zhen Ji
openaire   +1 more source

Unleashing the power of visible‐near infrared spectroscopy: predicting Golden Delicious apple enzyme activity

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Enzymatic browning is a significant reaction in fruits that affects their color, appearance, and quality. The quality of apples, as a perishable product, is mainly influenced by the activity of two browning‐related enzymes, polyphenol oxidase (PPO) and peroxidase (POD), during storage.
Tarahom Mesri Gundoshmian, Mahsa Sadat Razavi, Reza Akbari, Mohammad Tahmasebi, Irene Locatelli, Silvia Grassi   +5 more
wiley   +1 more source

HYBASE - HYperspectral BAnd SElection tool [PDF]

, 2008
Band selection is essential in the design of multispectral sensor systems. This paper describes the TNO hyperspectral band selection tool HYBASE. It calculates the optimum band positions given the number of bands and the width of the spectral bands ...
Bekman, H.H.P.T., Schwering, P.B.W., Seijen, H.H. van   +2 more
core  

Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques [PDF]

, 2018
International audienceIn this paper, we propose a novel adaptive band selection approach for hyperspectral image semantic interpretation. This approach is based on constrained band selection (CBS) method and extracted knowledge coming from tensor ...
Solaiman, Basel, Mohamed Farah, Imed Riadh Farah, Farah, Imed Riadh, Akrem Sellami, Basel Solaiman, Sellami, Akrem, FARAH, Mohamed   +7 more
core   +1 more source