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   Articles with "polarimetric sar" as a keyword



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A Multi-component Decomposition Method for Polarimetric SAR Data

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recommendations! Published in 2017 at "Chinese Journal of Electronics"

DOI: 10.1049/cje.2016.08.028

Abstract: There are more unknowns than equations to solve for previous four-component decomposition methods. So they have to determine each scattering power with some assumptions and avoid negative powers in decomposed results with physical power constraints.… read more here.

Keywords: multi component; polarimetric sar; decomposition method; component decomposition ... See more keywords
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An Efficient Polarimetric SAR Calibration Algorithm Using Corner Reflectors

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recommendations! Published in 2017 at "Canadian Journal of Remote Sensing"

DOI: 10.1080/07038992.2017.1330142

Abstract: ABSTRACT Fully polarimetric synthetic aperture radar (SAR) has been widely used in applications, such as ground parameter inversion and classification. However, to accurately decipher the information contained in the polarimetric characteristics of an illuminated scene,… read more here.

Keywords: sar calibration; polarimetric sar; corner reflectors; calibration ... See more keywords
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Remote Predictive Mapping of the Tunnunik Impact Structure in the Canadian Arctic using Multispectral and Polarimetric SAR Data Fusion

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recommendations! Published in 2018 at "Canadian Journal of Remote Sensing"

DOI: 10.1080/07038992.2018.1544846

Abstract: Abstract The 28-km diameter Tunnunik impact structure in northern Victoria Island, Arctic Canada, was mapped using ASTER, Landsat 8, RADARSAT-2 polarimetric synthetic aperture radar (SAR), and Quickbird data. Multispectral analysis was accomplished through band ratios,… read more here.

Keywords: impact structure; polarimetric sar; multispectral polarimetric; sar ... See more keywords
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Polarimetric SAR Data Classification via Reinforcement Learning

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2939232

Abstract: Inspired by human’s learning characteristic that knowledge is gradually learned little by little, a Spatial-Polarimetric Reinforcement Learning (SPRL) approach is proposed for Polarimetric Synthetic Aperture Radar (PolSAR) data classification, from a new perspective of reinforcement… read more here.

Keywords: reinforcement learning; polarimetric sar; data classification; spatial polarimetric ... See more keywords
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Five-Component Decomposition Methods of Polarimetric SAR and Polarimetric SAR Interferometry Using Coupling Scattering Mechanisms

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recommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2021.3071161

Abstract: 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. The target of these methods is to… read more here.

Keywords: sar; tex math; polarimetric sar; inline formula ... See more keywords
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Polarimetric Decomposition With an Urban Area Descriptor for Compact Polarimetric SAR Data

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recommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2021.3116166

Abstract: 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. However,… read more here.

Keywords: sar; sar data; decomposition; polarimetric sar ... See more keywords
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Reciprocity Evaluation in Heterogeneous Polarimetric SAR Images

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2020.3017518

Abstract: In this letter, an automatic method to validate the reciprocity theorem on full-polarimetric heterogeneous synthetic aperture radar (SAR) data is derived. The study extends, to the more general heterogeneous scenario, the work of [1], where… read more here.

Keywords: sar; heterogeneous polarimetric; reciprocity; reciprocity evaluation ... See more keywords
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Screening Polarimetric SAR Data via Geometric Barycenters for Covariance Symmetry Classification

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recommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2023.3250741

Abstract: This letter proposes a robust framework for polarimetric covariance symmetries classification in synthetic aperture radar (SAR) images applying a prescreening on the data looks before they are used to perform inferences. More specifically, the devised… read more here.

Keywords: polarimetric sar; sar data; geometric barycenters; screening polarimetric ... See more keywords
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Polarimetric SAR Image Factorization

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recommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2017.2700951

Abstract: This paper reformulates the problem of polarimetric incoherent target decomposition as a general image factorization which aims to simultaneously estimate a dictionary of meaningful atom scatterers and their corresponding spatial distribution maps. Both model-based and… read more here.

Keywords: image; factorization; problem; polarimetric sar ... See more keywords
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SLIC Superpixel Segmentation for Polarimetric SAR Images

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2020.3047126

Abstract: Superpixel segmentation approaches for polarimetric synthetic aperture radar (SAR) images have only been studied in recent years. Simple linear iterative clustering (SLIC) is a simple and efficient superpixel segmentation method, first proposed for optical images.… read more here.

Keywords: polarimetric sar; superpixel segmentation; method; segmentation ... See more keywords
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Polarimetric SAR Despeckling With Convolutional Neural Networks

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3152068

Abstract: Coherent imaging systems such as synthetic aperture radar (SAR) are subject to speckle, the reduction of which is an active area of study. Methods based on deep convolutional neural networks (CNNs) have recently demonstrated state-of-the-art… read more here.

Keywords: sar; neural networks; polarimetric sar; polsar ... See more keywords