Results 41 to 50 of about 9,036 (210)

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

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

Comparative Assessment of Landsat‐8 and SPOT‐7 Satellite Data With Field Spectral Measurements for Estimating Plant Diversity in Sandy Grasslands

Biological Diversity, EarlyView.
We compared Landsat‐8 OLI, SPOT, and hyperspectral data for estimating vascular plant diversity in China's Hunshandak Sandland. SPOT data showed the strongest correlation with alpha diversity, followed by hyperspectral data, with Landsat‐8 performing the weakest.
Ying Ye, Jianxiong Lan, Xiaoyue Zhang, Yu Peng   +3 more
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

Flexible wearable electronics for cardiovascular monitoring from surface signals to deep physiological insights

FlexMat, EarlyView.
This review organizes flexible wearable electronics for cardiovascular monitoring into four interconnected information layers: surface electrophysiology, hemodynamic sensing, vascular imaging, and biofluid biomarker analysis. This framework clarifies how electrical rhythm, vascular loading, structural and flow‐related features, and biochemical states ...
Qiao Chen, Hongwen Chen, Yuanyuan Li, Pingan Yang, Rui Li, Zhihao Zhou   +5 more
wiley   +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

Models of DG‐Carbon Bands in Raman Spectra: Effects of Basis Functions and Initial Values on the Uniqueness and S/N of Fits Obtained for Atmospheric Aerosol Using Automated Methods

Journal of Raman Spectroscopy, EarlyView.
Raman spectra containing D/G features are fit using combinations of basis functions and initial conditions. Fits with two Lorentzian functions converged to a single optimized fit even with variation of initial peak positions. For five‐band fits, sometimes the final fit varied with initial conditions, and constraints on peak center position were ...
David C. Doughty, Steven C. Hill
wiley   +1 more source

Editorial for Special Issue “Hyperspectral Imaging and Applications”

Remote Sensing, 2019
Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging.
Chein-I Chang, Meiping Song, Junping Zhang, Chao-Cheng Wu   +3 more
doaj   +1 more source

Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Precise, real time and non‐destructive assessment of plant water status is important for advancing plant physiological understanding, optimizing water usage, improving crop resilience and supporting precision agriculture in the face of increasingly variable climatic conditions.
Naila Farooq, Bo Zhang, Bastian Leander Franzisky, Tasawer Abbas, Jochen Taiber, Martin Koch, Ian C Dodd, Christoph‐Martin Geilfus   +7 more
wiley   +1 more source

Global Information and Structure Tensor Guided Collaborative Representation for Anomaly Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Anomaly detection is susceptible to complex background and interference noise. Local anomaly detection and collaborative representation detection can effectively suppress background.
Meiping Song, Zhenyu Guo, Lan Li, Shihui Liu, Haimo Bao, Jiakang Li   +5 more
doaj   +1 more source