Results 91 to 100 of about 109,853 (338)

Hyperspectral Detection of Single and Combined Effects of Simulated Tree Shading and Alternaria alternata Infection on Sorghum bicolor, from Leaf to UAV-Canopy Scale

Agronomy
Agroforestry systems offer clear environmental and agronomic advantages, but their effect on plant–biotic stressor interactions remains poorly understood.
Lorenzo Pippi, Michael Alibani, Nicola Acito, Daniele Antichi, Giovanni Caruso, Marco Fontanelli, Michele Moretti, Cristina Nali, Silvia Pampana, Elisa Pellegrini, Andrea Peruzzi, Samuele Risoli, Gabriele Sileoni, Nicola Silvestri, Lorenzo Gabriele Tramacere, Lorenzo Cotrozzi   +15 more
doaj   +1 more source

Evaluating the Effect of Different Wheat Rust Disease Symptoms on Vegetation Indices Using Hyperspectral Measurements

Remote Sensing, 2014
Spectral Vegetation Indices (SVIs) have been widely used to indirectly detect plant diseases. The aim of this research is to evaluate the effect of different disease symptoms on SVIs and introduce suitable SVIs to detect rust disease.
Davoud Ashourloo, Mohammad Reza Mobasheri, Alfredo Huete   +2 more
doaj   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Nonlinear unmixing of minerals based on the log and continuum removal model

European Journal of Remote Sensing, 2019
Spectral mixing models for minerals can be complex, and choosing the right unmixing model is indispensable to ensure the accuracy of spectral unmixing. Continuum removal (CR) and natural log operation have the potential to eliminate nonlinear effects in ...
Hengqian Zhao, Xuesheng Zhao
doaj   +1 more source

Supervised Distance-Based Feature Selection for Hyperspectral Target Detection

Remote Sensing, 2019
Feature/band selection (FS/BS) for target detection (TD) attempts to select features/bands that increase the discrimination between the target and the image background. Moreover, TD usually suffers from background interference. Therefore, bands that help
Amir Moeini Rad, Ali Akbar Abkar, Barat Mojaradi   +2 more
doaj   +1 more source

An investigation of data compression techniques for hyperspectral core imager data [PDF]

, 2008
We investigate algorithms for tractable analysis of real hyperspectral image data from core samples provided by AngloGold Ashanti. In particular, we investigate feature extraction, non-linear dimension reduction using diffusion maps and wavelet ...
Cawse, Kerry-Anne, Damelin, Steven, du Plessis, Louis, McIntyre, Richard, Michael, Sears, Mitchley, Michael   +5 more
core  

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

Spectral-Spatial Anomaly Detection of Hyperspectral Data Based on Improved Isolation Forest [PDF]

, 2021
Xiangyu Song, Sunil Aryal, Kai Ming Ting, zhen Liu, Bin He   +4 more
openalex   +1 more source

Metalens‐Enabled Twisted Chromatic Dispersion

Advanced Physics Research, EarlyView.
We successfully demonstrate visible broadband twisted dispersion metalenses. As a proof of concept, we realized two distinct devices: the conical helical and the spring‐like dispersion‐controlled metalenses. These results rigorously validate the universality of our approach in customizing arbitrary continuous 3D dispersion trajectories, thereby ...
Shiyu Zheng, Boyan Fu, Hong Zhang, Shuming Wang   +3 more
wiley   +1 more source