Results 71 to 80 of about 91,296 (293)

Development of a 3-Axis Gimbal for Drones to Improve Hyperspectral Imaging Quality of Large-Scale Natural Heritage [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
This study presents the design, fabrication, and performance validation of a precision 3-axis gimbal system for drone-mounted applications. Traditional fixed bracket systems have faced challenges in maintaining stable imaging angles and mitigating ...
J. S. Lee   +5 more
doaj   +1 more source

Residual component analysis of hyperspectral images - Application to joint nonlinear unmixing and nonlinearity detection [PDF]

open access: yes, 2014
This paper presents a nonlinear mixing model for joint hyperspectral image unmixing and nonlinearity detection. The proposed model assumes that the pixel reflectances are linear combinations of known pure spectral components corrupted by an additional ...
Altmann, Yoann   +10 more
core   +1 more source

Super‐Multiplexed Label‐Free Raman Imaging Uncovers Novel Testicular Metabolic Couplings for Residual Body and Spermatogonial Differentiation

open access: yesAdvanced Science, EarlyView.
Super‐multiplexed Label‐free Raman Imaging (SLRI) enables 2D/3D metabolic mapping of intact Drosophila testes. Moving beyond descriptive morphology, it establishes a multidimensional tool for tissue metabolic remodeling, and offers a generalizable platform for complex tissue analysis, with implications extending to development and disease. ABSTRACT The
Jiaxin Li   +23 more
wiley   +1 more source

Rotation Equivariant Convolutional Neural Networks for Hyperspectral Image Classification

open access: yesIEEE 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   +3 more
doaj   +1 more source

Morphological Convolutional Neural Networks for Hyperspectral Image Classification

open access: yesIEEE 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   +4 more
doaj   +1 more source

Hyperspectral Adapter for Object Tracking based on Hyperspectral Video

open access: yesCoRR
Object tracking based on hyperspectral video attracts increasing attention to the rich material and motion information in the hyperspectral videos. The prevailing hyperspectral methods adapt pretrained RGB-based object tracking networks for hyperspectral tasks by fine-tuning the entire network on hyperspectral datasets, which achieves impressive ...
Long Gao   +5 more
openaire   +3 more sources

Hyperspectral image compression : adapting SPIHT and EZW to Anisotropic 3-D Wavelet Coding [PDF]

open access: yes, 2008
Hyperspectral images present some specific characteristics that should be used by an efficient compression system. In compression, wavelets have shown a good adaptability to a wide range of data, while being of reasonable complexity.
Christophe, Emmanuel   +2 more
core   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

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

open access: yesAdvanced 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   +12 more
wiley   +1 more source

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

open access: yesAdvanced 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   +7 more
wiley   +1 more source

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