Results 1 to 10 of about 727 (147)
Pol-InSAR-Island - A benchmark dataset for multi-frequency Pol-InSAR data land cover classification [PDF]
ISPRS Open Journal of Photogrammetry and Remote Sensing, 2023 This paper presents Pol-InSAR-Island, the first publicly available multi-frequency Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR) dataset labeled with detailed land cover classes, which serves as a challenging benchmark dataset for ...
Sylvia Hochstuhl +2 more
exaly +11 more sources
Spaceborne Polarimetric SAR Interferometry: Performance Analysis and Mission Concepts [PDF]
EURASIP Journal on Advances in Signal Processing, 2005 We investigate multichannel imaging radar systems employing coherent combinations of polarimetry and interferometry (Pol-InSAR). Such systems are well suited for the extraction of bio- and geophysical parameters by evaluating the combined scattering ...
Cloude Shane R +2 more
doaj +2 more sources
DETECTION OF FOREST DISTURBANCE USING TANDEM-X POL-INSAR COHERENCE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 This current study shows the potential of TanDEM-X pol-InSAR coherence to identify progressive selective logging of Teak plantation in Uttarakhand, India.
M. Musthafa, G. Singh, U. Khati
doaj +3 more sources
Polarimetric Time-Series InSAR for Surface Deformation Monitoring in Mining Area Using Dual-Polarization Data [PDF]
SensorsTimely and reliable surface deformation monitoring is critical for hazard prevention and resource management in mining areas. However, traditional Time-Series Interferometric (TSI) Synthetic Aperture Radar techniques often suffer from low coherent point ...
Xingjun Ju, Sihua Gao, Yongfeng Li
doaj +2 more sources
Pol-InSAR sensitivity to hemi-boreal forest structure at L- and P-bands
International Journal of Applied Earth Observation and Geoinformation, 2021 A dual-frequency approach is proposed to discriminate hemi-boreal forest species using L- and P-band data. First, it is shown that L-band is less sensitive to the forest structure than P-band.
Samira Hosseini, Franck Garestier
exaly +3 more sources
Observing Seasonal Variabilities of a Permafrost Landscape With PolSAR, InSAR and Pol-InSAR [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSynthetic aperture radar (SAR) remote sensing is an established approach for observing Earth processes. The combination of different types of SAR acquisitions in polarimetric, interferometric, and polarimetric-interferometric frameworks is well studied ...
Paloma Saporta +5 more
doaj +4 more sources
Remote Sensing, 2019 Globally available high-resolution information about canopy height and AGB is important for carbon accounting. The present study showed that Pol-InSAR data from TS-X and RS-2 could be used together with field inventories and high-resolution data such as ...
Sandra Lohberger, Florian Siegert
exaly +3 more sources
Forest Height Estimation Based on P-Band Pol-InSAR Modeling and Multi-Baseline Inversion
Remote Sensing, 2020 The Gaussian vertical backscatter (GVB) model has a pivotal role in describing the forest vertical structure more accurately, which is reflected by P-band polarimetric interferometric synthetic aperture radar (Pol-InSAR) with strong penetrability.
Xiaofan Sun +2 more
exaly +3 more sources
Estimation of Glacier Ice Extinction Using Long-Wavelength Airborne Pol-InSAR [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2013 In the 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. This paper describes the estimation of ice extinctions through the modeling of polarimetric interferometric SAR (Pol-InSAR) coherences as a combination of a surface ...
Irena Hajnsek +2 more
exaly +6 more sources
A Modified Three-Stage Inversion Algorithm Based on R-RVoG Model for Pol-InSAR Data
Remote Sensing, 2016 In this paper, a modified two-layer scattering model is applied to a three-stage algorithm for high-precision retrieval of forest parameters from Polarimetric Synthetic Aperture Radar Interferometry (Pol-InSAR) data. Traditional Random-Volume-over-Ground
Qi Zhang, Tiandong Liu, Zegang Ding
exaly +3 more sources