Results 91 to 100 of about 12,889,375 (285)

Quality criteria benchmark for hyperspectral imagery [PDF]

, 2005
Hyperspectral data appear to be of a growing interest over the past few years. However, applications for hyperspectral data are still in their infancy as handling the significant size of the data presents a challenge for the user community.
Christophe, Emmanuel, Léger, Dominique, Mailhes, Corinne   +2 more
core   +1 more source

PbS colloidal quantum dots imagers: From single devices to arrays, flexible platforms, and CMOS‐integrated systems

FlexMat, EarlyView.
Abstract Imagers operating in the visible to near‐infrared (NIR) range play an important role in applications such as industrial sorting, security surveillance, and autonomous driving. However, conventional imaging technologies based on silicon and III–V semiconductors suffer from several limits, including restricted spectral range, high fabrication ...
Xin Hong, Songdi Zhang, Runtian Han, Peng Wang, Wenjie Deng   +4 more
wiley   +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., Scheunders, Paul, Scheunders, P., Haest, B., Thoonen, G., Bertels, L., Kooistra, L., Thoonen, Guy, Vanden Borre, J., Mücher, C.A., Delalieux, S., Mucher, C. A.   +11 more
core  

The Global Patent Landscape of Mushroom‐Derived Functional Foods: Current Status, Future Perspectives, and Artificial Intelligence–Driven Exploration

Food Safety and Health, EarlyView.
The global patent landscape of mushroom‐derived functional food was widely analyzed, and AI‐integrated approaches realizing cost‐effective and reliable exploration of functional foods derived from mushrooms were explored. ABSTRACT Global health concerns and the increasing demand for nourishment have collectively driven the rising demand for functional ...
Xihong Zhao, Linhuizi Xiang, Dongmei Liu, Shoucheng Qin, Yue Chen, Xueyan Sun   +5 more
wiley   +1 more source

Effective feature extraction and data reduction with hyperspectral imaging in remote sensing [PDF]

, 2014
Although PCA has been widely used for feature extraction and data reduction, it suffers from three main drawbacks: high computational cost, large memory requirement and low efficacy in processing large datasets such as HSI.
Zabalza, Jaime, Ren, Jinchang, Marshall, Stephen, Zheng, Jiangbin   +3 more
core   +3 more sources

Improved sparse representation using adaptive spatial support for effective target detection in hyperspectral imagery [PDF]

, 2013
With increasing applications of hyperspectral imagery (HSI) in agriculture, mineralogy, military, and other fields, one of the fundamental tasks is accurate detection of the target of interest.
Li, Xiaohui, Ren, Jinchang, Marshall, Stephen, Zhao, Chunhui   +3 more
core   +2 more sources

Multiscale Deep Spatial Feature Extraction Using Virtual RGB Image for Hyperspectral Imagery Classification

Remote Sensing, 2020
In recent years, deep learning technology has been widely used in the field of hyperspectral image classification and achieved good performance. However, deep learning networks need a large amount of training samples, which conflicts with the limited ...
Liqin Liu, Zhenwei Shi, Bin Pan, Ning Zhang, Huanlin Luo, Xianchao Lan   +5 more
doaj   +1 more source

Nonlinear spectral unmixing of hyperspectral images using Gaussian processes [PDF]

, 2012
This paper presents an unsupervised algorithm for nonlinear unmixing of hyperspectral images. The proposed model assumes that the pixel reflectances result from a nonlinear function of the abundance vectors associated with the pure spectral components ...
Altmann, Yoann, Altmann, Yoann; id_orcid, McLaughlin, Steve; id_orcid, Dobigeon, Nicolas, Tourneret, Jean-Yves, McLaughlin, Steve   +5 more
core   +1 more source

Biosensors for Food Safety and Adulteration Monitoring: Applications, Smart Packaging Integration, and Pathways to Intelligent, Field‐Deployable Detection Systems

Food Safety and Health, EarlyView.
Biosensors enable rapid, sensitive, and portable detection of pathogens, contaminants, allergens, and food adulteration. Integration with smart packaging, smartphones, IoT, and machine learning supports real‐time monitoring and intelligent decision‐making, whereas microfluidics, biodegradable materials, explainable AI, and blockchain offer pathways ...
Mohima Akther Any, Abid Hassan Arnab, Liza Akter, Yusuf Chowdhury, Md. Hassan Bin Nabi, Md Abu Rayhan, Nazmul Islam, Wahidu Zzaman   +7 more
wiley   +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