Results 21 to 30 of about 1,703,074 (177)

Polarimetric Decomposition and Machine Learning‐Based Classification of L‐ and S‐Band Airborne SAR (LS‐ASAR) Data

Earth and Space Science, Volume 10, Issue 6, June 2023., 2023
Abstract The polarimetric Synthetic Aperture Radar (SAR) data sets have been widely exploited for land use land cover (LULC) classification due to their sensitivity to the structural and dielectric properties of the imaging target. In this study, the potential of fully polarimetric L‐ and S‐band Airborne SAR (LS‐ASAR) data sets were explored for the ...
Shatakshi Verma, Shashi Kumar, Hamish Dsouza   +2 more
wiley   +1 more source

Estimation of glacier ice extinction using long-wavelength airborne Pol-InSAR [PDF]

, 2013
In recent years there has been increased interest in using synthetic aperture radar (SAR) to study and monitor glaciers and ice sheets for glaciological and climate change research.
Sharma, Jayanti, Hajnsek, Irena, Moreira, Alberto, Papathanassiou, Konstantinos   +3 more
core   +1 more source

ESTIMATING CANOLA’S BIOPHYSICAL PARAMETERS FROM TEMPORAL, SPECTRAL, AND POLARIMETRIC IMAGERY USING MACHINE LEARNING APPROACHES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
The objective of this study was to investigate the application of multi-temporal optical and polarimetric synthetic aperture radar (PolSAR) Earth observations for crop characterization.
O. Reisi Gahrouei, S. Homayouni, A. Safari   +2 more
doaj   +1 more source

Feature fusion method based on local binary graph for PolSAR image classification

IET Radar, Sonar &Navigation, Volume 17, Issue 6, Page 939-954, June 2023., 2023
We propose a novel supervised version of GCNs named mini‐GCNs, for short. As the name suggests, mini‐GCNs can be trained in mini‐batch fashion, trying to achieve a better and more robust local optimum. To remove the redundant information extracted from the designed CNN and mini‐GCN, a feature fusion method is proposed to achieve better classification ...
Mohammad Ali Sebt, Mohsen Darvishnezhad
wiley   +1 more source

Permafrost Dynamics Observatory (PDO): 2. Joint Retrieval of Permafrost Active Layer Thickness and Soil Moisture From L‐Band InSAR and P‐Band PolSAR

Earth and Space Science, Volume 10, Issue 1, January 2023., 2023
Abstract Seasonal subsidence induced by ground ice melt can be measured by interferometric synthetic aperture radar (InSAR) techniques to infer active layer thickness (ALT) in permafrost regions. The magnitude of subsidence depends on both how deep the soil thawed and how much ice/water content existed in the active layer soil.
Richard H. Chen, Roger J. Michaelides, Yuhuan Zhao, Lingcao Huang, Elizabeth Wig, Taylor D. Sullivan, Andrew D. Parsekian, Howard A. Zebker, Mahta Moghaddam, Kevin M. Schaefer   +9 more
wiley   +1 more source

Interferometric Synthetic Aperture Radar (SAR) Missions Employing Formation Flying [PDF]

, 2010
This paper presents an overview of single-pass interferometric Synthetic Aperture Radar (SAR) missions employing two or more satellites flying in a close formation.
Hajnsek, Irena, Moreira, Alberto, Younis, Marwan, Papathanassiou, Konstantinos, Krieger, Gerhard, Konstantinos Panagiotis Papathanassiou, Alberto Moreira, Irena Hajnsek, Gerhard Krieger, Marwan Younis   +9 more
core   +1 more source

Polarimetric calibration strategy for long-duration imaging with a ground-based SAR [PDF]

, 2005
The Ground-Based Synthetic Aperture Radar (GB-SAR) facility in the UK provides high-resolution, fully polarimetrically calibrated L- through X-band SAR imagery, principally of targets of remote sensing interest such as soils and vegetation.
Morrison, Keith, Cookmartin, Geoff, J C Bennett, Bennett, J. C., Race, A., Quegan, Shaun, K. Morrison, A. Race, G. Cookmartin, S. Quegan   +9 more
core   +1 more source

Ice Volume Characterization using Long-Wavelength Airborne PolSAR Data [PDF]

, 2012
The interest in studying land ice for glaciological and climate change research has increased in recent years. The need of information on a global scale makes synthetic aperture radar (SAR) suitable for these studies.
Konstantinos P. Papathanassiou, Jagdhuber, Thomas, Papathanassiou, Konstantinos P., Hajnsek, Irena, Parrella, Giuseppe, Al-Kahachi, Noora, Papathanassiou, Kostantinos, Thomas Jagdhuber, Noora Al-Kahachi, Irena Hajnsek, Giuseppe Parrella   +10 more
core   +1 more source

Prototype Theory Based Feature Representation for PolSAR Images

Leida xuebao, 2016
This study presents a new feature representation approach for Polarimetric Synthetic Aperture Radar (PolSAR) image based on prototype theory. First, multiple prototype sets are generated using prototype theory.
Huang Xiaojing, Yang Xiangli, Huang Pingping, Yang Wen   +3 more
doaj   +1 more source

On the Ability of PolSAR Measurements to Discriminate Among Mangrove Species

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
In this article, apolarimetric synthetic aperture radar (PolSAR) feature is analyzed to discriminate among different mangrove species. This feature, which is related to the Wishart distance, maximizes the contrast among mangrove species optimizing the ...
Emanuele Ferrentino, Ferdinando Nunziata, Hongsheng Zhang, Maurizio Migliaccio   +3 more
doaj   +1 more source