Results 71 to 80 of about 10,052 (204)
Remote Sensing of Endogenous Pigmentation by Inducible Synthetic Circuits in Grasses
Plant Biotechnology Journal, EarlyView.ABSTRACT Plant synthetic biology holds great promise for engineering plants to meet future demands. Genetic circuits are being designed, built and tested in plants to demonstrate the proof of concept. However, developing these components in monocots, which the world relies on for grain, lags behind dicot models, such as Arabidopsis thaliana and ...
Dong‐Yeon Lee +13 more
wiley +1 more source
Robust Superpixel Segmentation for Hyperspectral-Image Restoration
Entropy, 2023 Hyperspectral-image (HSI) restoration plays an essential role in remote sensing image processing. Recently, superpixel segmentation-based the low-rank regularized methods for HSI restoration have shown outstanding performance.
Ya-Ru Fan
doaj +1 more source
, 2017 This paper proposes a novel deep learning framework named bidirectional-convolutional long short term memory (Bi-CLSTM) network to automatically learn the spectral-spatial feature from hyperspectral images (HSIs).
Hang, Renlong +3 more
core +2 more sources
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 +12 more
wiley +1 more source
HyperGAN: A Hyperspectral Image Fusion Approach Based on Generative Adversarial Networks
Remote SensingThe objective of hyperspectral pansharpening is to fuse low-resolution hyperspectral images (LR-HSI) with corresponding panchromatic (PAN) images to generate high-resolution hyperspectral images (HR-HSI).
Jing Wang +6 more
doaj +1 more source
Sequential Dimensionality Reduction for Extracting Localized Features
, 2016 Linear dimensionality reduction techniques are powerful tools for image analysis as they allow the identification of important features in a data set. In particular, nonnegative matrix factorization (NMF) has become very popular as it is able to extract ...
Casalino, Gabriella, Gillis, Nicolas
core +1 more source
Spectroscopic Methods of Edible Flower Authentication and Quality Control for Food Applications
eFood, Volume 7, Issue 1, February 2026.The global demand for edible flowers has increased. Issues such as incorrect species identification, flower product adulteration, contamination, and quality degradation necessitate the application of proper methods for authenticating and controlling the product's quality.
Fidele Benimana +3 more
wiley +1 more source
, 2014 In this paper, we address the issue of hyperspectral pan-sharpening, which consists in fusing a (low spatial resolution) hyperspectral image HX and a (high spatial resolution) panchromatic image P to obtain a high spatial resolution hyperspectral image ...
de Vieilleville, François +3 more
core +1 more source
Advanced Functional Materials, Volume 36, Issue 9, 29 January 2026.This work reveals a fundamental trade‐off between plasmonic and dielectric metasurfaces for molecular sensing. A clear performance crossover is identified: dielectric metasurfaces excel in air, while plasmonic metasurfaces dominate in lossy solvents. These results establish design rules for infrared metasurface sensors and enable optimized performance ...
Tao Jiang +8 more
wiley +1 more source
Hyperspectral Image Super-Resolution by Deep Spatial-Spectral Exploitation
Remote Sensing, 2019 Limited by the existing imagery sensors, hyperspectral images are characterized by high spectral resolution but low spatial resolution. The super-resolution (SR) technique aiming at enhancing the spatial resolution of the input image is a hot topic in ...
Jing Hu, Minghua Zhao, Yunsong Li
doaj +1 more source