Results 41 to 50 of about 56,702 (212)

Spectral-Enhanced Sparse Transformer Network for Hyperspectral Super-Resolution Reconstruction

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) has garnered increasing attention due to its capacity for capturing extensive spectral information. However, the acquisition of high spatial resolution HSIs is often restricted by current imaging hardware limitations.
Yuchao Yang, Yulei Wang, Hongzhou Wang, Lifu Zhang, Enyu Zhao, Meiping Song, Chunyan Yu   +6 more
doaj   +1 more source

Detection of multi-tomato leaf diseases (late blight, target and bacterial spots) in different stages by using a spectral-based sensor. [PDF]

, 2018
Several diseases have threatened tomato production in Florida, resulting in large losses, especially in fresh markets. In this study, a high-resolution portable spectral sensor was used to investigate the feasibility of detecting multi-diseased tomato ...
de Castro, Ana Isabel, Ehsani, Reza, Lu, Jinzhu, Shi, Yeyin, Wang, Shuang   +4 more
core   +2 more sources

Drones: Innovative Technology for Use in Precision Pest Management. [PDF]

, 2020
Arthropod pest outbreaks are unpredictable and not uniformly distributed within fields. Early outbreak detection and treatment application are inherent to effective pest management, allowing management decisions to be implemented before pests are well ...
de Lange, Elvira S, Heldens, Wieke B, Iost Filho, Fernando H, Kong, Zhaodan   +3 more
core   +1 more source

A Multi‐Resonant Tunable Fabry‐Pérot Cavity for High Throughput Spectral Imaging

Advanced Optical Materials, Volume 13, Issue 8, March 13, 2025.
This study introduces a multi‐resonant tunable Fabry‐Pérot filter for high throughput spectral imaging. With a spectral resolution of 10 nm and a switching time of 23 ms, this compact and low‐cost device possesses better spectral imaging accuracy in poor light conditions while maintaining over six times higher optical throughput than standard liquid ...
Xiao Wu, Zijian Lin, Shige Tang, Xiao Chen, Tingbiao Guo, Sailing He   +5 more
wiley   +1 more source

Micromachined Double‐Membrane Mechanically Tunable Metamaterial for Thermal Infrared Filtering

Advanced Photonics Research, Volume 6, Issue 5, May 2025.
Herein, a mechanically tunable double‐layer plasmonic metamaterial leveraging the extraordinary optical transmission effect observed in subwavelength arrays of openings within thin metal layers is presented. The concept is experimentally validated by integrating the proposed metamaterial structure into an electrostatic parallel‐plate actuator to create
Oleg Bannik, Fedor Kovalev, Mingkai Liu, Michal Zawierta, Dilusha Silva, Lorenzo Faraone, Mariusz Martyniuk, Ilya Shadrivov   +7 more
wiley   +1 more source

KDAD: Knowledge Distillation-Based Anomaly Detection for Thermal Infrared Hyperspectral Image

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Autoencoder (AE) is extensively utilized in hyperspectral anomaly detection (HAD) tasks owing to its robust feature extraction and image reconstruction capabilities. However, AE lacks constraints on anomaly samples during the training process, leading to
Enyu Zhao, Hao Zhang, Nianxin Qu, Yulei Wang, Yongguang Zhao   +4 more
doaj   +1 more source

The sleeping giant needs coffee: Overlooked areas for integrating plant ecophysiology and evolutionary biology

American Journal of Botany, EarlyView.
Abstract Interpretations of evolutionary outcomes are limited without incorporation of physiological ecology, and ecophysiological interpretations would benefit from incorporating evolutionary perspectives. Although there has been a rise of studies in the last 20 years between these fields, evolutionary studies that incorporate plant physiology have ...
Haley A. Branch
wiley   +1 more source

MEETNet: Morphology-Edge Enhanced Triple-Cascaded Network for Infrared Small Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Infrared small target detection is focused on accurately identifying tiny targets with low signal-to-noise ratio against complex backgrounds, representing a critical challenge in the field of infrared image processing. Existing approaches frequently fail
Enyu Zhao, Yu Shi, Nianxin Qu, Yulei Wang, Hang Zhao   +4 more
doaj   +1 more source

Research on dimension reduction method for hyperspectral remote sensing image based on global mixture coordination factor analysis [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Over the past thirty years, the hyperspectral remote sensing technology is attracted more and more attentions by the researchers. The dimension reduction technology for hyperspectral remote sensing image data is one of the hotspots in current research ...
S. Wang, C. Wang
doaj   +1 more source

UAV-Borne Hyperspectral Imaging Remote Sensing System Based on Acousto-Optic Tunable Filter for Water Quality Monitoring

Remote Sensing, 2021
Unmanned aerial vehicle (UAV) hyperspectral remote sensing technologies have unique advantages in high-precision quantitative analysis of non-contact water surface source concentration.
Hong Liu, Tao Yu, Bingliang Hu, Xingsong Hou, Zhoufeng Zhang, Xiao Liu, Jiacheng Liu, Xueji Wang, Jingjing Zhong, Zhengxuan Tan, Shaoxia Xia, Bao Qian   +11 more
doaj   +1 more source