Results 51 to 60 of about 3,420,393 (309)

Novel Gumbel-Softmax Trick Enabled Concrete Autoencoder With Entropy Constraints for Unsupervised Hyperspectral Band Selection

IEEE Transactions on Geoscience and Remote Sensing, 2022
As an important topic in hyperspectral image (HSI) analysis, band selection has attracted increasing attention in the last two decades for dimensionality reduction in HSI.
He Sun, Jinchang Ren, Huimin Zhao, P. Yuen, Julius Tschannerl   +4 more
semanticscholar   +1 more source

Hyperspectral Image Visualization Using Band Selection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
This paper investigates hyperspectral image display based on selection of three spectral channels to build a red-green-blue (RGB) composite. A series of band selection algorithms are implemented and compared for this purpose. In particular, three color composition schemes based on visualization-oriented spectral segmentations are proposed.
Hongjun Su, Qian Du 0001, Peijun Du
openaire   +2 more sources

Defect‐Templated Phase Engineering in Atomically Thin Metals

Advanced Materials, EarlyView.
Graphene defects are transformed from passive imperfections into programmable templates for phase‐selective growth of atomically thin silver. Plasma‐generated boundary defects favor Ag(1), whereas sp3‐rich zero‐layer graphene promotes Ag(2). This defect‐directed intercalation links local graphene chemistry to crystalline phase, electronic structure ...
Arpit Jain, Boyang Zheng, Sawani Datta, Kanchan Ulman, Jakob Henz, Matthew Wei‐Jun Liu, Van Dong Pham, Wen He, Chengye Dong, Li‐Syuan Lu, Alexander Vera, Nader Sawtarie, Wesley Auker, Ke Wang, Bob Hengstebeck, Zachary W. Henshaw, Shreya Mathela, Maxwell Wetherington, William H. Blades, Kenneth Knappenberger, Ursula Wurstbauer, Su Ying Quek, Ulrich Starke, Shengxi Huang, Vincent H. Crespi, Joshua A. Robinson   +25 more
wiley   +1 more source

Ionic Gating of Liquid‐Crystal‐Like Pteridine Assemblies Enables Tunable Light Scattering

Advanced Materials, EarlyView.
Tunable optical properties emerge through developmentally regulated ionic gating, which transforms disordered, ultraviolet (UV)‐absorbing organelles into concentrically ordered, liquid‐crystal‐like light scatterers. By integrating analyses of pteridine composition, potassium‐dependent assembly, hierarchical ultrastructure, and optical behavior, the ...
Sourabh Bera, Zohar Eyal, Yael Noy, Yuval Barzilay, Siddharth Sahoo, Srikant Moharana, Avi Baram, Tali Lerer‐Goldshtein, Neta Varsano, Bar Bader, Lothar Houben, Uwe Heinig, Iddo Pinkas, Moshe Goldsmith, Tamar Unger, Shira Albeck, Andrea Sorrentino, Maxim Itkin, Sergey Malitsky, Ziv Porat, Ido Hadar, Venkata Jayasurya Yallapragada, Dvir Gur   +22 more
wiley   +1 more source

Explainability Feature Bands Adaptive Selection for Hyperspectral Image Classification

Remote Sensing
Hyperspectral remote sensing images are widely used in resource exploration, urban planning, natural disaster assessment, and feature classification. Aiming at the problems of poor interpretability of feature classification algorithms for hyperspectral ...
Jirui Liu, Jinhui Lan, Yiliang Zeng, Wei Luo, Zhixuan Zhuang, Jinlin Zou   +5 more
doaj   +1 more source

A Band Subset Selection Approach Based on Sparse Self-Representation and Band Grouping for Hyperspectral Image Classification

Remote Sensing, 2022
Band subset selection (BSS) is one of the ways to implement band selection (BS) for a hyperspectral image (HSI). Different from conventional BS methods, which select bands one by one, BSS selects a band subset each time and preserves the best one from ...
Keng-Hao Liu, Yu-Kai Chen, Tsun-Yang Chen   +2 more
doaj   +1 more source

Heterogeneous Regularization-Based Tensor Subspace Clustering for Hyperspectral Band Selection

IEEE Transactions on Neural Networks and Learning Systems, 2022
Band selection (BS) reduces effectively the spectral dimension of a hyperspectral image (HSI) by selecting relatively few representative bands, which allows efficient processing in subsequent tasks.
Shaoguang Huang, Hongyan Zhang, Ji-Ze Xue, A. Pižurica   +3 more
semanticscholar   +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

Effective feature extraction and data reduction with hyperspectral imaging in remote sensing [PDF]

, 2014
Although PCA has been widely used for feature extraction and data reduction, it suffers from three main drawbacks: high computational cost, large memory requirement and low efficacy in processing large datasets such as HSI.
Zabalza, Jaime, Ren, Jinchang, Marshall, Stephen, Zheng, Jiangbin   +3 more
core   +4 more sources

SSANet-BS: Spectral-Spatial Cross-Dimensional Attention Network for Hyperspectral Band Selection

Remote Sensing
Band selection (BS) aims to reduce redundancy in hyperspectral imagery (HSI). Existing BS approaches typically model HSI only in a single dimension, either spectral or spatial, without exploring the interactions between different dimensions. To this end,
Chuanyu Cui, Xudong Sun, Baijia Fu, Xiaodi Shang   +3 more
semanticscholar   +1 more source