Results 61 to 70 of about 204,035 (336)

Estimating the number of endmembers in hyperspectral images using the normal compositional model and a hierarchical Bayesian algorithm. [PDF]

, 2010
This paper studies a semi-supervised Bayesian unmixing algorithm for hyperspectral images. This algorithm is based on the normal compositional model recently introduced by Eismann and Stein.
Dobigeon, Nicolas, Eches, Olivier, Tourneret, Jean-Yves   +2 more
core   +2 more sources

High Light Utilization and Color Rendering in Vacuum‐Deposited Semitransparent Perovskite Solar Cells

Advanced Materials, EarlyView.
In this work, low bandgap (≈1.55 eV) semitransparent perovskite solar cells (ST‐PSCs) having thin (thickness < ≈100 nm) perovskite layers and transparent conductive oxide‐based rear electrodes are fabricated using vacuum‐deposition methods. Two different ST‐PSCs demonstrated a high light utilization efficiency value of 4.2 (PCE: 9.26% and AVT: 45.3 ...
Abhyuday Paliwal, Manuel Romero, Lennart van den Hengel, Nathan Rodkey, Kassio P. S. Zanoni, Gabriel Lozano, Cristina Roldán‐Carmona, Michele Sessolo, Hernán Míguez, Henk J. Bolink   +9 more
wiley   +1 more source

Two‐Dimensional Reconfigurable Photodiode for In‐Sensor Color Filtering and Spectral Logic

Advanced Materials, EarlyView.
By harnessing the photodoping of different aggregates, the device exhibits wavelength‐dependent volatile‐to‐nonvolatile photoresponses that can be reconfigured via bias modulation. This enables in‐sensor color filtering and spectral‐encrypted information processing, eliminating reliance on external optical filters or post‐processing algorithms ...
Xiaokun Guo, Yaoqiang Zhou, Yufeng Zhang, Xinyi Zhao, Yue Pang, Lei Tong, Zhipei Sun, Jianbin Xu   +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

Rotation Equivariant Convolutional Neural Networks for Hyperspectral Image Classification

IEEE Access, 2020
Detection of surface material based on hyperspectral imaging (HSI) analysis is an important and challenging task in remote sensing. It is widely known that spectral-spatial data exploitation performs better than traditional spectral pixel-wise procedures.
Mercedes E. Paoletti, Juan M. Haut, Swalpa Kumar Roy, Eligius M. T. Hendrix   +3 more
doaj   +1 more source

Morphological Convolutional Neural Networks for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Convolutional neural networks (CNNs) have become quite popular for solving many different tasks in remote sensing data processing. The convolution is a linear operation, which extracts features from the input data.
Swalpa Roy, Ranjan Mondal, Mercedes E. Paoletti, Juan M. Haut, Antonio Plaza   +4 more
doaj   +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

Helios: Hyperspectral Hindsight Ostracker

2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023
In this paper we present our video object tracking algorithm HELIOS (HyperspEctraL hIndsight OStracker) designed for snapshot mosaic hyperspectral cameras, as part of our submission to the Third Hyperspectral Object Tracking Challenge 2023. HELIOS is based on a high-performance RGB-based one-stream tracking framework for joint feature learning and ...
Muszyński, Rafał, Luong, Hiep
openaire   +2 more sources

Adaptive band selection snapshot multispectral imaging in the VIS/NIR domain

, 2010
Hyperspectral imaging has proven its efficiency for target detection applications but the acquisition mode and the data rate are major issues when dealing with real-time detection applications.
Ferrec, Yann, Lonnoy, Jacques, Minet, Jean, Péalat, Michel, Roux, Nicolas, Taboury, Jean   +5 more
core   +1 more source

Single‐Cell Metabolic Imaging and Digital Scoring of Fat Tissue Remodeling by Label‐Free Metabolic Microscopy

Advanced Science, EarlyView.
Mid‐infrared optoacoustic microscopy (MiROM) acquires lipid‐ and protein‐ associated vibrational contrast in intact fat tissue without dyes, preserving native tissue architecture. Through lateral and axial segmentation, MiROM tracks intrinsic intracellular changes during postnatal remodeling. A quantitative spatial analysis tool (Q‐SAT) maps white‐ and
Myeongseop Kim, Constantin Berger, Alexander Wolf, Alina Peteranderl, Martin Klingenspor, Vasilis Ntziachristos, Yongguo Li, Miguel A. Pleitez   +7 more
wiley   +1 more source