Results 31 to 40 of about 42,857 (235)
A Model-Free Four Component Scattering Power Decomposition for Polarimetric SAR Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Target decomposition methods from polarimetric Synthetic Aperture Radar (PolSAR) data provides target scattering information. In this regard, several conventional model-based methods use scattering power components to analyze polarimetric SAR data ...
Subhadip Dey +4 more
doaj +1 more source
Optimum graph cuts for pruning binary partition trees of polarimetric SAR images [PDF]
, 2016 This paper investigates several optimum graph-cut techniques for pruning binary partition trees (BPTs) and their usefulness for the low-level processing of polarimetric synthetic aperture radar (PolSAR) images.
Foucher, Samuel +1 more
core +2 more sources
Computational polarimetric microwave imaging [PDF]
, 2017 We propose a polarimetric microwave imaging technique that exploits recent advances in computational imaging. We utilize a frequency-diverse cavity-backed metasurface, allowing us to demonstrate high-resolution polarimetric imaging using a single ...
Fromenteze, Thomas +5 more
core +6 more sources
A deep-neural-network-based hybrid method for semi-supervised classification of polarimetric SAR data [PDF]
, 2019 This paper proposes a deep-neural-network-based semi-supervised method for polarimetric synthetic aperture radar (PolSAR) data classification. The proposed method focuses on achieving a well-trained deep neural network (DNN) when the amount of the ...
Huang, Shaoguang +4 more
core +1 more source
Modifying the Yamaguchi Four-Component Decomposition Scattering Powers Using a Stochastic Distance
, 2015 Model-based decompositions have gained considerable attention after the initial work of Freeman and Durden. This decomposition which assumes the target to be reflection symmetric was later relaxed in the Yamaguchi et al.
Bhattacharya, Avik +4 more
core +1 more source
An Optimal Polarization SAR Three-Component Target Decomposition Based on Semi-Definite Programming
Remote Sensing, 2023 The model-based polarimetric synthetic aperture radar (PolSAR) target decomposition decodes the scattering mechanism of the target by analyzing the essential scattering components.
Tingting Wang +5 more
semanticscholar +1 more source
, 2017 In this letter, we propose a novel technique for obtaining scattering components from Polarimetric Synthetic Aperture Radar (PolSAR) data using the geodesic distance on the unit sphere.
Bhattacharya, Avik +2 more
core +1 more source
IEEE Access, 2020 An assessment of polarimetric inverse synthetic aperture radar (Pol-ISAR) imaging is accomplished for realistic target models with the use of our recently developed high-frequency radar cross-section simulator tool called PREDICS.
Sevket Demirci +2 more
doaj +1 more source
Removal of Spectro-Polarimetric Fringes by 2D Pattern Recognition
, 2012 We present a pattern-recognition based approach to the problem of removal of polarized fringes from spectro-polarimetric data. We demonstrate that 2D Principal Component Analysis can be trained on a given spectro-polarimetric map in order to identify and
Casini +17 more
core +1 more source
PolInSAR Coherence and Entropy‐Based Hybrid Decomposition Model
Earth and Space Science, 2020 Target characterization is an essential aspect of polarimetric decomposition. This technique is capable of categorizing polarimetric signatures for different types of targets based on the scattering mechanisms they follow, enabling straightforward ...
Shahid Shuja Shafai, Shashi Kumar
doaj +1 more source