Results 51 to 60 of about 1,703,074 (177)

Advanced Bistatic and Multistatic SAR Concepts and Applications [PDF]

, 2006
Tutorial on Bistatic and Multistatic Synthetic Aperture Radar from EUSAR 2006 ...
Krieger, Gerhard
core  

A Concept for High Performance Reflector-Based Synthetic Aperture Radar [PDF]

, 2010
The success of current spaceborne Synthetic Aperture Radar (SAR) is boosting the performance requirement of next generation systems. In order to cope with the evolution of SAR, the design of the new systems will need to meet higher requirements for ...
Patyuchenko, Anton, Huber, Sigurd, Anton Patyuchenko, Alberto Moreira, Moreira, Alberto, Younis, Marwan, Krieger, Gerhard, Sigurd Huber, Marwan Younis, Gerhard Krieger   +9 more
core   +1 more source

Multistatic Frequency and Polarimetry Adaptive Autofocus for Synthetic Aperture Radar Imaging of a Moving Target

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This paper presents a multistatic, frequency‐ and polarimetry‐adaptive autofocus algorithm (F‐Pol) for SAR imaging of moving targets undergoing complex, six‐degrees‐of‐freedom (6‐DoF) motion. Building on Localised Threshold Sharpness (LTS), the method exploits agreement across frequency sub‐bands and polarisation channels to improve pulse‐by‐pulse ...
Anmol Rattan, Daniel Andre, Mark Finnis
wiley   +1 more source

Machine learning classification based on k-Nearest Neighbors for PolSAR data

Anais da Academia Brasileira de Ciências
In this work, we focus on obtaining insights of the performances of some well-known machine learning image classification techniques (k-NN, Support Vector Machine, randomized decision tree and one based on stochastic distances) for PolSAR (Polarimetric ...
JODAVID A. FERREIRA, ANNY K.G. RODRIGUES, RAYDONAL OSPINA, LUIS GOMEZ   +3 more
doaj   +1 more source

Permafrost Dynamics Observatory: 3. Remote Sensing Big Data for the Active Layer, Soil Moisture, and Greening and Browning

Earth and Space Science, Volume 12, Issue 1, January 2025.
Abstract Because of the remote nature of permafrost, it is difficult to collect data over large geographic regions using ground surveys. Remote sensing enables us to study permafrost at high resolution and over large areas. The Arctic‐Boreal Vulnerability Experiment's Permafrost Dynamics Observatory (PDO) contains data about permafrost subsidence ...
Elizabeth Wig, Kevin Schaefer, Roger Michaelides, Richard Chen, Leah K. Clayton, Brittany Fager, Lingcao Huang, Andrew D. Parsekian, Howard Zebker, Yingtong Zhang, Yuhuan Zhao   +10 more
wiley   +1 more source

Investigation of the capability of multitemporal RADARSAT-2 fully polarimetric SAR images for land cover classification: a case of Panyu, Guangdong province

European Journal of Remote Sensing, 2021
Synthetic aperture radar (SAR), with all-day and all-weather observation capabilities, can capture the phenology of crops with short growth cycles to improve land cover classification results.
Di Liu, Zhixin Qi, Hui Zhang, Xia Li, Anthony Gar-on Yeh, Jiao Wang   +5 more
doaj   +1 more source

Training Sample Selection Based on SAR Images Quality Evaluation With Multi‐Indicators Fusion

IET Signal Processing, Volume 2025, Issue 1, 2025.
In recent years, with the development of artificial neural networks, efficiently training models for synthetic aperture radar (SAR) image classification tasks has garnered significant attention from researchers. Particularly when dealing with datasets containing a large number of redundant samples, the selection of training samples becomes crucial for ...
Pengcheng Wang, Huanyu Liu, Junbao Li, Hasan Mir   +3 more
wiley   +1 more source

Robustness Assessment of PolSAR Target Detection Under Transferable Amplitude–Phase Perturbations

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Reliable polarimetric synthetic aperture radar (PolSAR) target detection requires robustness assessments that account for complex-valued data and diverse polarimetric representations and detection paradigms.
Jiyuan Liu, Wei Wang, Dehui Zhu, Tao Zhang, Jun Zhang, Hongqi Fan   +5 more
doaj   +1 more source

Consistency Regularization Semisupervised Learning for PolSAR Image Classification

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
Polarimetric Synthetic Aperture Radar (PolSAR) images have emerged as an important data source for land cover classification research due to their all‐weather, all‐day monitoring capabilities. Deep learning‐based classification methods have recently gained significant attention in PolSAR image classification since they have demonstrated excellent ...
Yu Wang, Shan Jiang, Weijie Li, Mohamadreza (Mohammad) Khosravi   +3 more
wiley   +1 more source

Wavelet-Based Compressed Sensing for Polarimetric SAR Tomography [PDF]

, 2013
Tomographic synthetic aperture radar (SAR) imaging has been recently formulated in a wavelet-based compressed sensing (CS) framework. This paper reviews the underlying sparsity-driven algorithms for single-channel as well as polarimetric tomography, and ...
Nannini, Matteo, Aguilera, Esteban, Andreas, Reigber   +2 more
core