Results 11 to 20 of about 621 (141)
Review of Ship Detection in Polarimetric Synthetic Aperture Imagery
Leida xuebao, 2021 Polarimetric Synthetic Aperture Radar (PolSAR) uses two-dimensional pulse compression to obtain high-resolution images containing polarimetric information.
Tao LIU +3 more
doaj +1 more source
Gaofen-3 PolSAR Image Classification via XGBoost and Polarimetric Spatial Information [PDF]
Sensors, 2018 Hao Dong, Xin Xu, Fangling Pu
exaly +2 more sources
Egyptian Journal of Remote Sensing and Space Sciences, 2022 Although various deep neural networks such as convolutional neural networks (CNNs) have been suggested for classification of polarimetric synthetic aperture radar (PolSAR) images, but, they have several deficiencies.
Maryam Imani
doaj +1 more source
, 2023 Background: Tropical mountain regions face adverse and worsening geohazards caused by climate related conditions, affecting large geographic areas worldwide. Landslides not only cause affectation to the people life, but they can affect the infrastructure challenging the ability of emergency authorities to assess the extent of the affected area.
Vega, Johnny +2 more
openaire +1 more source
Remote Sensing, 2022 Polarimetric synthetic aperture radar (PolSAR) images contain useful information, which can lead to extensive land cover interpretation and a variety of output products.
Ali Radman +4 more
doaj +1 more source
Visualisation and interpretation of PolSAR data based on polarimetric coherence
The Journal of Engineering, 2019 Polarimetric coherence strongly relates to the target scattering characteristics. Coherences of different second-order statistics show different advantages in target discrimination in specific correspondence to physical scattering mechanism.
Liting Liang +3 more
doaj +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 +2 more
doaj +1 more source
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 +2 more
wiley +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
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 +9 more
wiley +1 more source