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Polarimetric Target Decompositions and Light Gradient Boosting Machine for Crop Classification: A Comparative Evaluation [PDF]

ISPRS International Journal of Geo-Information, 2019
In terms of providing various scattering mechanisms, polarimetric target decompositions provide certain benefits for the interpretation of PolSAR images.
Mustafa Ustuner, Fusun Balik Sanli
doaj   +7 more sources

An Adaptive Polarimetric Target Decomposition Algorithm Based on the Anisotropic Degree

Remote Sensing
Polarimetric target decomposition algorithms have played an important role in extracting the scattering characteristics of buildings, crops, and other fields.
Pingping Huang, Baoyu Li, Xiujuan Li, Weixian Tan, Wei Xu, Yuejuan Chen   +5 more
doaj   +4 more sources

Model-Based Polarimetric Target Decomposition With Power Redistribution for Urban Areas

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Polarimetric decomposition of oriented buildings is challenging due to their variable orientation angles and structures. Both vegetated and oriented built-up areas generate the HV component namely cross-polarized scattering, leading to an overestimation ...
Canbin Hu, Yifei Wang, Xiaokun Sun, Sinong Quan, Deliang Xiang   +4 more
doaj   +5 more sources

Improved Threat Detection in Walk-Through Security Scanning Using an Optimized Polarimetric Target Decomposition Method

IEEE Journal of Microwaves, 2023
Reliable and convenient walk-through security scanning, which doesn't separate people or impede their movement, is an extremely challenging task. In this paper, a novel approach for a security check with an overhead observation and a polarimetric ...
Konstantin Root, Julian Adametz, Frank Gumbmann, Ingrid Ullmann, Martin Vossiek   +4 more
doaj   +3 more sources

Soil Moisture Inversion Via Semiempirical and Machine Learning Methods With Full-Polarization Radarsat-2 and Polarimetric Target Decomposition Data: A Comparative Study

IEEE Access, 2020
In this article, surface soil moisture was retrieved from Radarsat-2 and polarimetric target decomposition data by using semiempirical models and machine learning methods.
Huseyin Acar, Mehmet Sirac Ozerdem, Emrullah Acar   +2 more
doaj   +3 more sources

On the Use of Neumann Decomposition for Crop Classification Using Multi-Temporal RADARSAT-2 Polarimetric SAR Data

Remote Sensing, 2019
In previous studies, parameters derived from polarimetric target decompositions have proven as very effective features for crop classification with single/multi-temporal polarimetric synthetic aperture radar (PolSAR) data.
Qinghua Xie, Jinfei Wang, Chunhua Liao, Jiali Shang, Juan M. Lopez-Sanchez, Haiqiang Fu, Xiuguo Liu   +6 more
doaj   +3 more sources

Information Extraction from Satellite-Based Polarimetric SAR Data Using Simulated Annealing and SIRT Methods and GPU Processing

Energies, 2021
The main goal of this research was to propose a new method of polarimetric SAR data decomposition that will extract additional polarimetric information from the Synthetic Aperture Radar (SAR) images compared to other existing decomposition methods.
Stanisława Porzycka-Strzelczyk, Jacek Strzelczyk, Kamil Szostek, Maciej Dwornik, Andrzej Leśniak, Justyna Bała, Anna Franczyk   +6 more
doaj   +1 more source

Multifrequency Spaceborne Synthetic Aperture Radar Data for Backscatter-Based Characterization of Land Use and Land Cover

Frontiers in Earth Science, 2022
Polarimetric synthetic aperture radar remote sensing extracts the information about the target using decomposition models to separate the polarimetric information into single-bounce (contributed by smooth surfaces), double-bounce (contributed by urban ...
Shatakshi Verma, Shashi Kumar, Varun Narayan Mishra, Rahul Raj   +3 more
doaj   +1 more source

Performance of SAR Polarimetric Calibration Using Hybrid Corner Reflectors: Numerical Simulations and Experimental Measurements

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
In this article, we devise a polarimetric calibration method utilizing only three types of calibration targets, i.e., trihedral, dihedral, and a 22.5°-rotated dihedral corner reflectors and requiring no assumptions on the scene statistics.
Suyun Wang, Kun-Shan Chen, Motoyuki Sato
doaj   +1 more source

Polarimetric Decomposition With an Urban Area Descriptor for Compact Polarimetric SAR Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The compact polarimetric (CP) synthetic aperture radar (SAR) can alleviate the drawbacks of the fully polarimetric (FP) SAR and provide more target information as compared to the conventional single polarimetric and dual polarimetric mode.
Qiang Yin, Jie Xu, Deliang Xiang, Yongsheng Zhou, Fan Zhang   +4 more
doaj   +1 more source