Results 41 to 50 of about 204,035 (336)
Hyperspectral remote sensing technology in wetland precise mapping plays a crucial role in ecological monitoring. Currently, hyperspectral image (HSI) wetland mapping achieves remarkable progress with the development of deep learning (DL) technology ...
Chunyan Yu +6 more
doaj +1 more source
Wildfires frequently occur around the world, which seriously threaten the ecology, environment, economic development, even human safety. In this work, we propose a novel framework for near-real-time and early-stage wildfire detection using Himawari-8 ...
Qiang Zhang +4 more
doaj +1 more source
Robust hyperspectral image classification with rejection fields
In this paper we present a novel method for robust hyperspectral image classification using context and rejection. Hyperspectral image classification is generally an ill-posed image problem where pixels may belong to unknown classes, and obtaining ...
Bioucas-Dias, Jose +2 more
core +1 more source
Compressive sensing (CS) has received considerable interest in hyperspectral sensing. Recent articles have also exploited the benefits of CS in hyperspectral image classification (HSIC) in the compressively sensed band domain (CSBD).
C. J. Della Porta, Chein-I Chang
doaj +1 more source
Fusion of hyperspectral and ground penetrating radar to estimate soil moisture
In this contribution, we investigate the potential of hyperspectral data combined with either simulated ground penetrating radar (GPR) or simulated (sensor-like) soil-moisture data to estimate soil moisture. We propose two simulation approaches to extend
Keller, Sina, Riese, Felix M.
core +1 more source
Imaging of Biphoton States: Fundamentals and Applications
Quantum states of two photons exhibit a rich polarization and spatial structure, which provides a fundamental resource of strongly correlated and entangled states. This review analyzes the physics of these intriguing properties and explores the various techniques and technologies available to measure them, including the state of the art of their ...
Alessio D'Errico, Ebrahim Karimi
wiley +1 more source
Hyperspectral Imagery Classification Based on Multiscale Superpixel-Level Constraint Representation
Sparse representation (SR)-based models have been widely applied for hyperspectral image classification. In our previously established constraint representation (CR) model, we exploited the underlying significance of the sparse coefficient and proposed ...
Haoyang Yu +5 more
doaj +1 more source
A General Framework for Change Detection Using Multimodal Remote Sensing Data
A general framework for change detection is proposed to analyze multimodal remotely sensed data utilizing the Kronecker product between two data representations (vectors or matrices).
Sanid Chirakkal +4 more
doaj +1 more source
Correlation Hyperspectral Imaging
Hyperspectral imaging aims at providing information on both the spatial and the spectral distribution of light, with high resolution. However, state-of-the-art protocols are characterized by an intrinsic trade-off imposing to sacrifice either resolution or image acquisition speed.
Gianlorenzo Massaro +2 more
openaire +4 more sources
Color Routing and Beam Steering of Single‐Molecule Emission with a Spherical Silicon Nanoantenna
We experimentally demonstrate broadband directional emission from single molecules using a single spherical silicon nanoparticle assembled via DNA origami. By varying nanoparticle (NP) size and emitter position, we achieve unidirectional emission, beam steering, and color routing at the nanoscale, revealing modal interference as the underlying ...
María Sanz‐Paz +9 more
wiley +1 more source

