Results 71 to 80 of about 3,420,393 (309)

Incorporating band selection in the spatial selection of spectral endmembers

International Journal of Applied Earth Observations and Geoinformation, 2020
The impact of band selection on endmember selection is seldom explored in the analysis of hyperspectral imagery. This study incorporates the N-dimensional Spectral Solid Angle (NSSA) band selection tool into the Spectral-Spatial Endmember Extraction ...
Yaqian Long, Benoit Rivard, Derek Rogge
doaj   +1 more source

CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model

Advanced Science, EarlyView.
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang, Yuqi Zhang, Xuzhe Zhao, Yansong Tang, Kaichen Dong   +4 more
wiley   +1 more source

Hyperspectral band selection based on deep learning: a review

Journal of King Saud University: Computer and Information Sciences
Hyperspectral images, characterized by rich spatial and spectral information, have been increasingly applied across numerous fields. However, the high dimensionality inherent in hundreds of spectral bands results in the “curse of dimensionality ...
Deqiong Ding, Dan Zhuang, Fei Xia, Xiaogao Yang   +3 more
doaj   +1 more source

Insights Into the Nature of Quantum Emitters in Electron‐Irradiated Hexagonal Boron Nitride

Advanced Science, EarlyView.
Hyperspectral imaging is used to identify quantum emitters hosted by the 2D material hexagonal boron nitride. By selecting specific emission wavelengths, one can distinguish individual emitters from ensembles and gain important insights into the atomic structure of these emitters.
Mouli Hazra, Anna Rupp, Mohammad N. Mishuk, Josefine Krause, Anand Kumar, Julien Chénedé, Mingi Kang, Bayarjargal N. Tugchin, Marijn Rikers, Isabelle Staude, Thomas Pertsch, Alexander Högele, Tobias Vogl   +12 more
wiley   +1 more source

Sample Latent Feature-Associated Low-Rank Subspace Clustering for Hyperspectral Band Selection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, subspace clustering has become increasingly popular and achieved great success in band selection (BS) of hyperspectral imagery. However, current subspace clustering approaches are mostly insufficient in capturing the fine spatial ...
Yujie Guo, Xin Zhao, Xudong Sun, Jiahua Zhang, Xiaodi Shang   +4 more
semanticscholar   +1 more source

A Preclinical Multifunctional Capsule Robot with Unified Diagnosis and Targeted Thermal Therapy for Gastrointestinal Diseases

Advanced Science, EarlyView.
A proof‐of‐concept multifunctional capsule robot integrates diagnostic imaging, magnetic navigation, wireless power transfer, and targeted thermotherapy for gastrointestinal applications. Magnetically guided positioning and stable wireless power enable localized thermal ablation, achieving controlled heating and high cell mortality in vitro.
Heng Zhang, Yichong Sun, Xiaoting Zhang, Chi‐Kwan Lee, Zheng Li, Yehui Li, Huarong Chen, Paul D. Mitcheson   +7 more
wiley   +1 more source

Hyperspectral Band Selection Using Improved Classification Map [PDF]

IEEE Geoscience and Remote Sensing Letters, 2017
Although it is a powerful feature selection algorithm, the wrapper method is rarely used for hyperspectral band selection. Its accuracy is restricted by the number of labeled training samples and collecting such label information for hyperspectral image is time consuming and expensive.
Xianghai Cao, Cuicui Wei, Jungong Han, Licheng Jiao   +3 more
openaire   +1 more source

Seeing the Chemistry of Biomolecular Condensates: In Situ Mapping of Composition and Water Content

Advanced Science, EarlyView.
Raman hyperspectral imaging combined with spectral phasor analysis enables a label‐free quantification of proteins, polymers and water density within individual biomolecular condensates. By transforming complex vibrational fingerprints into intuitive compositional maps, the approach reveals the high water content and structural heterogeneity of ...
E. Sabri, A. Mangiarotti, C. N. Z. Schmitt, R. Dimova   +3 more
wiley   +1 more source

Multi-objective particle swarm optimization with boundary selection and curve fitting for band selection in hyperspectral image classification

Journal of King Saud University: Computer and Information Sciences
Hyperspectral image (HSI) band selection often suffers from band redundancy and information loss due to the neglect of spectral characteristics. To address this issue, this paper proposes a semi-supervised multi-objective particle swarm optimization with
honghua rao, heming jia, changsheng wen
doaj   +1 more source

Cross‐scale Material‐Structure Synergy for 2D Metamaterials: Toward Customizable Intelligent Electromagnetic Manipulation in Multiphysics Fields

Advanced Science, EarlyView.
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang, Xing Yang, Liping Liu, Yang Peng, Yangyang Wang, Hualiang Lv   +5 more
wiley   +1 more source