Results 51 to 60 of about 206 (121)
Earth and Space Science, Volume 11, Issue 1, January 2024.Abstract The potential of single date fully Polarimetric RADARSAT‐2 data in retrieving crop biophysical parameters using Machine Learning techniques was investigated. Various polarimetric parameters along with coherent and incoherent decomposition techniques were assessed for its sensitivity toward crop parameters like Wet and Dry Biomass, Crop Height,
Dharanya Thulasiraman +4 more
wiley +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Multipolarimetric synthetic aperture radar (SAR) interferometric phase optimization and phase series estimation have received a lot of attentions recently from the polarimetry SAR interferometry (PolInSAR) community. In this article, a maximum likelihood
Guobing Zeng +4 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn this article, an improved three-component decomposition method for $\pi /4$ compact polarimetric synthetic aperture radar Interferometry (PolInSAR) is proposed to interpret the scattering mechanisms of various terrain types.
Yu Wang +6 more
doaj +1 more source
Sensors, 2008 This paper uses a complete and realistic SAR simulation processing chain, GRECOSAR, to study the potentialities of Polarimetric SAR Interferometry (POLInSAR) in the development of new classification methods for ships.
Jordi J. Mallorqui, Gerard Margarit
doaj +1 more source
Complex Least Squares Adjustment to Improve Tree Height Inversion Problem in PolInSAR [PDF]
Journal of Geodesy and Geoinformation Science, 2019 At present, the principal data processing methods involving complex observations are based on two strategies according to characteristics of the observation process, i.e., step-by-step and direct resolution.
Jianjun ZHU,Qinghua XIE,Tingying ZUO,Changcheng WANG,Jian XIE
doaj +1 more source
Remote SensingFor tropical forests characterized by tall and densely packed trees, even long-wavelength SAR signals may fail to achieve full penetration, posing a significant challenge for retrieving sub-canopy terrain using polarimetric interferometric SAR (InSAR ...
Chuanjun Wu +5 more
doaj +1 more source
Remote Sensing, 2019 This paper presents a machine learning based method to predict the forest structure parameters from L-band polarimetric and interferometric synthetic aperture radar (PolInSAR) data acquired by the airborne UAVSAR system over the Réserve Faunique des
Guillaume Brigot +3 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 In this article, five-component model-based decomposition methods of polarimetric synthetic aperture radar (PolSAR) (P5SD) and polarimetric synthetic aperture radar interferometry (PolInSAR) (PI5SD) using coupling scattering mechanisms are proposed.
Yu Wang, Weidong Yu, Wentao Hou
doaj +1 more source
PolInSAR Signatures of Alpine Snow [PDF]
, 2008 Snow cover appears as a key indicator in climate change, and the ability to remotely measure the physical properties of snow is of vital importance. Current model-based approaches used to interpret satellite and airborne data need much stronger experimental confirmation. PolInSAR is a promising emerging technique for the measurement of snow depth.
Morrison, Keith +5 more
openaire +1 more source
Improvement of Forest Height Retrieval By Integration of Dual-Baseline PolInSAR Data And External DEM Data [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 In recent years, a lot of studies have shown that polarimetric synthetic aperture radar interferometry (PolInSAR) is a powerful technique for forest height mapping and monitoring. However, few researches address the problem of terrain slope effect, which
Q. Xie, C. Wang, J. Zhu, H. Fu, C. Wang
doaj +1 more source