Results 31 to 40 of about 1,140 (180)

Soil Moisture Inversion Via Semiempirical and Machine Learning Methods With Full-Polarization Radarsat-2 and Polarimetric Target Decomposition Data: A Comparative Study

IEEE Access, 2020
In this article, surface soil moisture was retrieved from Radarsat-2 and polarimetric target decomposition data by using semiempirical models and machine learning methods.
Huseyin Acar, Mehmet Sirac Ozerdem, Emrullah Acar   +2 more
doaj   +1 more source

Metasurface‐Based Multidimensional Light‐Field Manipulation: From Technologies to Applications

Advanced Science, EarlyView.
Multidimensional metasurfaces enable versatile manipulation of multiple optical degrees of freedom, including phase, amplitude, polarization, wavelength, and orbital angular momentum. This review summarizes their fundamental mechanisms, emerging strategies for multidimensional light‐field control, and key applications in optical computing, imaging ...
Heliang Yin, Shuo Sun, Jiahao Zhang, Jianuo Hu, Yubin Qiao, Liang Chen, Jin Li   +6 more
wiley   +1 more source

Broadband Near‐Field Computational Microwave Imaging Enabled by Nonperiodic Dispersive Unit‐Cell Loading in a Passive Metasurface

Advanced Electronic Materials, EarlyView.
A compact passive engineered surface converts changes in microwave frequency into many distinct illumination patterns, allowing nearby objects to be imaged without mechanical scanning, active tuning, or a large antenna array. Operating from 18 to 28 GHz, the single‐port system uses measured field patterns to reconstruct metallic targets and distinguish
Mohammed H. Arif, Firas Slewa Dawod, Henrik Jansen, Caner Kadıoğlu, Sayan Roy, Dirk Heberling, Renato Negra   +6 more
wiley   +1 more source

Research of seasonal changes of forest vegetation in Baikal region on polarimetric ALOS PALSAR data

Известия Томского политехнического университета: Инжиниринг георесурсов, 2017
Relevance of the work is caused by the necessity to create and to develop the techniques of mapping forest vegetation using satellite radar data. The main aim of the research is to study the possibility of classifying the coniferous and mixed forests of ...
Irina Ivanovna Kirbizhekova, Elizaveta Vladimirovna Batueva   +1 more
doaj   +2 more sources

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

Advanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit, Yizhou Qian, Yi‐Chien Chen, Ziyang Shen, Po‐Sheng Chiu, Youngeon Lee, Cheng‐Han Ke, Chih‐Lung Lin, Shin‐Tson Wu   +8 more
wiley   +1 more source

Assessment of the X- and C-Band Polarimetric SAR Data for Plastic-Mulched Farmland Classification

Remote Sensing, 2019
We present a classification of plastic-mulched farmland (PMF) and other land cover types using full polarimetric RADARSAT-2 data and dual polarimetric (HH, VV) TerraSAR-X data, acquired from a test site in Hebei, China, where the main land covers include
Chang-An Liu, Zhongxin Chen, Di Wang, Dandan Li   +3 more
doaj   +1 more source

Rotational Anisotropy Raman Spectrometer for High‐Sensitivity Crystallographic Symmetry Analysis

Laser &Photonics Reviews, EarlyView.
We introduce rotational‐anisotropy Raman spectroscopy, an enhanced scheme that overcomes the limitations of traditional polarization‐resolved Raman techniques. This method reveals previously inaccessible phonon symmetries and resolves directional anisotropy of phonon‐polaritons in benchmark crystals, establishing a powerful new tool for characterizing ...
Di Cheng, Junxiang Li, Shizhuo Luo, Zehao Chen, Xinwei Li   +4 more
wiley   +1 more source

Modified Freeman−Durden Decomposition and Deorientation Non-Negative Eigenvalue Decomposition for Multi-Look Polarimetric SAR Data

Remote Sensing
Freeman−Durden Decomposition (FDD) and Non-Negative Eigenvalue Decomposition (NNED) are among the most widely used incoherent polarimetric decomposition algorithms for analyzing fully Polarimetric Synthetic Aperture Radar (PolSAR) data, particularly FDD.
Wentao An, Guangming Chen, Yarong Zou, Qian Feng   +3 more
doaj   +1 more source

A phase-decomposition-based polarimetric coherence optimization method

International Journal of Applied Earth Observations and Geoinformation, 2022
The interference between different scattering components in distributed scatterer (DS) makes it difficult to estimate the phase from DS. Recently, some methods based on eigenvalue decomposition (EVD) are proposed to separate scatterer components from DS,
Zhengjia Zhang, Xiucheng Jiang, Mengmeng Wang, Xiuguo Liu, Qingxiang Wang, Ran Li   +5 more
doaj   +1 more source

Invariance Properties and Measurement of Correlation Between Two Propagating or Evanescent Waves

Laser &Photonics Reviews, EarlyView.
This work analyses the strength of correlation between two propagating or evanescent plane waves generally expressed in different frames. Interferometric and nanoscattering‐based methods, respectively, are demonstrated for their measurement. The results show that the applied measure of correlation remains invariant under unitary polarization ...
Zhen Dong, Kimmo Saastamoinen, Andreas Norrman, Yahong Chen, Ari T. Friberg, Tero Setälä   +5 more
wiley   +1 more source