Results 101 to 110 of about 15,264 (300)

A Lightweight Convolutional Neural Network for Hyperspectral Image Classification

, 2020
In the hyperspectral image, each pixel corresponds to a small area on the Earth's surface and represents the intrinsic characteristic of objects, which can be applied for recognition of land covers.
Jia, Sen, Zhou, Jun, Huang, Qiang, Lin, Zhijie, Li, Qingquan, Jia, Xiuping, Xu, Meng   +6 more
core   +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

Illumination invariance and shadow compensation via spectro-polarimetry technique [PDF]

, 2013
A major problem for obtaining target reflectance via hyperspectral imaging systems is the presence of illumination and shadow effects. These factors are common artefacts, especially when dealing with a hyperspectral imaging system that has sensors in the
Jackman, James, Soori, Umair, Hong, Kan, Ibrahim, Izzati, Richardson, Mark A., Yuen, Peter W. T., Chen, Tong   +6 more
core   +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

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

Uncertainty assessment for a novel optically shallow water radiometric acquisition platform

Limnology and Oceanography: Methods, EarlyView.
Abstract We present a novel motorized platform, a custom‐built jet‐ski designed for acoustic and radiometric measurements in optically shallow coastal waters. This platform integrates in‐water radiometers with single‐beam and multi‐beam acoustic sensors, along with a suite of active and passive instruments (conductivity‐temperature‐depth, fluorescence,
Raphaël Mabit, Simon Bélanger, Pascal Bernatchez   +2 more
wiley   +1 more source

Life after herbarium digitisation: Physical and digital collections, curation and use

PLANTS, PEOPLE, PLANET, EarlyView.
Societal Impact Statement Collections of dried plant specimens (herbaria) provide an invaluable resource for the study of many areas of scientific interest and conservation globally. Digitisation increases access to specimens and metadata, enabling efficient use across a broad spectrum of research.
Alan James Paton, Gabriel K. Ameka, Alexandre Antonelli, Alex Asase, Russell L. Barrett, Ann Bogaerts, Domingos Cardoso, Mark Carine, Alastair Culham, Syadwina H. Dalimunthe, Nina Davies, Sofie De Smedt, Sebebe Demissew, Rafaela Campostrini Forzza, Quentin Groom, Elspeth M. Haston, Abdulrokhman Kartonegoro, Paul Kersey, Isabel Larridon, Jana Leong‐Škorničková, Lucia G. Lohmann, Jehova Lourenco Jr., Hannah McPherson, Muthama Muasya, Nicky Nicolson, Marcelo Pace, Jack F. Plummer, Hélène Ralimanana, Himmah Rustiami, Hervé Sauquet, Emily B. Sessa, Eric Smets, Alex Sumadijaya, Jordan Teisher, Daniel C. Thomas, Eka F. Tihurua, Janine E. Victor, Sarah T. Wagner, Quiang Wang, Andrew Young   +39 more
wiley   +1 more source

Development of a new spectral library classifier for airborne hyperspectral images on heterogeneous environments

, 2011
The classification of hyperspectral images on heterogeneous environments without prior knowledge about the study area is a challenging task. Finding potential pure spectral signatures or endmembers (EM) of the various surface materials within an image is
Mende, Andre, Heiden, Uta, Buchroithner, Manfred, Hoja, Danielle, Bachmann, Martin   +4 more
core  

Superpixel-Level Weighted Label Propagation for Hyperspectral Image Classification

, 2020
As a typical graph-based semisupervised learning technique, the label propagation (LP) approach has gained much attention in recent years. The key to LP algorithms is the propagation capability and efficiency of the similarity matrix, which describes the
Jia, Sen, Zhou, Jun, Deng, Xianglong, Jia, Xiuping, Xu, Meng   +4 more
core   +1 more source

From wild to tamed: Reimagining novel crops through omics and local plant diversity

PLANTS, PEOPLE, PLANET, EarlyView.
The global food system faces growing pressure from climate change, biodiversity loss, and rising nutritional demands. Agriculture has increased yields but reduced crop diversity, flavor, and nutritional quality, leaving societies vulnerable and dependent on a narrow set of staple species.
Alexandra Sanfeliu Meliá, Pablo D. Cárdenas   +1 more
wiley   +1 more source