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Advanced Techniques for Ground Penetrating Radar Imaging
| Advanced Techniques for Ground Penetrating Radar Imaging |
| Autore | López Yuri |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (218 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
Ground Penetrating Radar (GPR)
Unmanned Aerial Vehicles (UAVs) Synthetic Aperture Radar (SAR) Real Time Kinematic (RTK) Ultra-Wide-Band (UWB) landmine and IED detection non-destructive testing GPR coherence semblance attribute analysis imaging GPR trace high-resolution data large-scale survey archaeological prospection Ground-Penetrating Radar velocity analysis coherency functionals GPR data processing GPR data migration spatial-variant convolution neural network (SV-CNN) spatial-variant convolution kernel (SV-CK) radar image enhancing MIMO radar neural networks imaging radar ground penetrating radar wavelet scattering network machine learning support vector machine pipeline identification snow snow water equivalent (SWE) stepped-frequency continuous wave radar (SFCW) software defined radio (SDR) snowpack multilayer reflectance Ground Penetrating Radar Synthetic Aperture Radar landmine Improvised Explosive Device radar noise attenuation Gaussian spike impulse noise deep convolutional denoising autoencoders (CDAEs) deep convolutional denoising autoencoders with network structure optimization (CDAEsNSO) applied geophysics digital signal processing enhancement of 3D-GPR datasets clutter noise removal spectral filtering ground-penetrating radar nondestructive testing pipelines detection modeling signal processing |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557337403321 |
López Yuri
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Polarimetric Synthetic Aperture Radar : Principles and Application
| Polarimetric Synthetic Aperture Radar : Principles and Application |
| Autore | Hajnsek Irena |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (304 pages) |
| Altri autori (Persone) | DesnosYves-Louis |
| Collana | Remote Sensing and Digital Image Processing |
| Soggetto topico |
Geographical information systems (GIS) & remote sensing
Other technologies & applied sciences Teaching of a specific subject Agricultural science Forestry & silviculture: practice & techniques Urban & municipal planning |
| Soggetto non controllato |
Remote Sensing/Photogrammetry
Signal, Image and Speech Processing Science Education Agriculture Forestry Urban Geography / Urbanism (inc. megacities, cities, towns) Digital and Analog Signal Processing Urban Geography and Urbanism Earth Remote Sensing PolSARpro Radar Polarimetry Radar Polarimetry Toolbox Synthetic Aperture Radar Open Access Geographical information systems & remote sensing Imaging systems & technology Signal processing Teaching of a specific subject Science: general issues Agricultural science Forestry & silviculture: practice & techniques Urban & municipal planning |
| ISBN | 3-030-56504-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Preface -- Pioneering Space-Borne SAR Interferometry -- Organising Airborne Polarimetric SAR Campaigns and Scientific Studies -- Dialoguing with POLinSAR Scientists and Training the Next Generation -- Pioneering Space-Borne SAR Polarimetric Interferometry -- Future Missions -- From Science to Applications -- Outlook -- In Memoriam -- Contents -- Symbols -- 1: Basic Principles of SAR Polarimetry -- 1.1 Theory of Radar Polarimetry -- 1.1.1 Wave Polarimetry -- 1.1.1.1 Electromagnetic Waves and Wave Polarization Descriptors -- 1.1.1.2 Totally and Partially Polarized Waves -- 1.1.1.3 Change of Polarization Basis -- 1.1.2 Scattering Polarimetry -- 1.1.2.1 The Scattering Matrix -- 1.1.2.2 Scattering Polarimetry Descriptors -- 1.1.2.3 Partial Scattering Polarimetry -- 1.1.2.4 Change of Polarization Basis -- 1.1.2.5 Scatterers Characterization by Single, Dual, Compact and Full Polarimetry -- 1.2 SAR Data Statistical Description and Speckle Noise Filtering -- 1.2.1 One-Dimensional Gaussian Distribution -- 1.2.2 Multidimensional Gaussian Distribution -- 1.2.3 The Wishart Distribution -- 1.2.4 The Polarimetric Covariance and Coherency Matrix -- 1.2.5 The Polarimetric Coherence -- 1.2.6 Polarimetric Speckle Noise Filtering -- 1.2.6.1 PolSAR Speckle Noise Filtering Principles -- 1.2.6.2 PolSAR Speckle Noise Filtering Alternatives -- 1.3 Polarimetric Scattering Decomposition Theorems -- 1.3.1 Coherent Scattering Decomposition Techniques -- 1.3.1.1 The Pauli Decomposition -- 1.3.2 Incoherent Scattering Decompositions Techniques -- 1.3.2.1 Three-Component Freeman Decomposition -- 1.3.2.2 Four-Component Yamaguchi Decomposition -- 1.3.2.3 Non-negative Eigenvalue Decomposition -- 1.3.2.4 Eigenvector-Eigenvalue-Based Decomposition -- 1.3.2.5 The Touzi Target Scattering Decompositions -- 1.4 Polarimetric SAR Interferometry.
1.4.1 SAR Interferometry -- 1.4.2 Algorithms for Optimum Interferogram Generation -- 1.4.3 Model-Based Polarimetric SAR Interferometry -- 1.4.3.1 PolInSAR for Bare Surface Scattering -- 1.4.3.2 PolInSAR for Random Volume Scattering -- 1.4.3.3 PolInSAR Two-Layer Combined Surface and Random Volume Scattering -- 1.5 Polarimetric SAR Tomography -- 1.5.1 TomoSAR and PolTomoSAR as Spectral Estimation Problems: Non-model-Based Adaptive Solutions -- 1.5.2 Model-Based PolTomoSAR -- 1.5.3 Coherence Tomography -- References -- 2: Forest Applications -- 2.1 Introduction -- 2.2 Forest Classification -- 2.2.1 Land Cover Classification in Tropical Lands Using PolSAR -- 2.2.1.1 Introduction, Motivation and Literature Review -- 2.2.1.2 Methodology -- 2.2.1.3 Experimental Results -- 2.2.1.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.2.2 Forest Mapping and Classification Using Polarimetric and Interferometric Data -- 2.2.2.1 Introduction, Motivation and Literature Review -- 2.2.2.2 Methodology -- 2.2.2.3 Experimental Results -- 2.2.2.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.2.3 Detection of Fire Scars -- 2.2.3.1 Introduction, Motivation and Literature Review -- 2.2.3.2 Methodology -- 2.2.3.3 Experimental Results -- 2.2.3.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.3 Forest Height Estimation -- 2.3.1 Introduction, Motivation and Literature Review -- 2.3.2 Methodology -- 2.3.2.1 Random-Volume-Over-Ground Inversion -- 2.3.2.2 Non-volumetric Decorrelation Contributions -- 2.3.3 Experimental Results -- 2.3.4 Comparison with Single/Dual Polarimetric Data -- 2.3.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions. 2.4 Forest Vertical Structure Estimation Using Multi-baseline Polarimetric SAR Acquisitions -- 2.4.1 Polarimetric SAR Tomography -- 2.4.1.1 Introduction, Motivation and Literature Review -- 2.4.1.2 Methodology -- 2.4.1.3 Experimental Results -- 2.4.1.4 Comparison with Single/Dual Polarization Data -- 2.4.1.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.4.2 Estimation of Vegetation Structure Parameters -- 2.4.2.1 Introduction, Motivation and Literature Review -- 2.4.2.2 Methodology -- 2.4.2.3 Experimental Results -- 2.4.2.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.5 Biomass Estimation -- 2.5.1 Biomass Estimation: A Review -- 2.5.1.1 Introduction, Motivation -- 2.5.1.2 Methodology -- 2.5.1.2.1 Direct Biomass Estimation -- 2.5.1.2.2 Model-Based Estimation -- 2.5.1.2.3 Allometric Biomass Estimation -- 2.5.1.3 Experimental Results -- 2.5.1.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.5.2 Biomass Estimation from Semi-empirical Relationships -- 2.5.2.1 Introduction, Motivation and Literature Review -- 2.5.2.2 Methodology -- 2.5.2.3 Experimental Results -- 2.5.2.4 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 2.6 Summary -- References -- 3: Agriculture and Wetland Applications -- 3.1 Introduction -- 3.2 Crop Type Mapping -- 3.2.1 Evaluation of C-Band Polarimetric SAR for Crop Classification -- 3.2.1.1 Introduction, Motivation and Literature Review -- 3.2.1.2 Methodology -- 3.2.1.3 Experimental Results -- 3.2.1.4 Comparison with Single-/Dual-Polarisation Data -- 3.2.1.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 3.2.2 Crop Classification Using Multitemporal L- and C-Band Airborne Polarimetric SAR. 3.2.2.1 Introduction, Motivation and Literature Review -- 3.2.2.2 Methodology -- 3.2.2.3 Experimental Results -- 3.2.2.4 Comparison with Single-/Dual-Polarisation Data -- 3.2.2.5 Discussion on the Role of Polarimetry on the Maturity of the Application and Conclusions -- 3.3 Soil Moisture Estimation Under Vegetation Using SAR Polarimetry -- 3.3.1 Introduction, Motivation and Literature Review -- 3.3.2 Methodology -- 3.3.3 Experimental Results -- 3.3.4 Comparison with Single-/Dual-Pol Data -- 3.3.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusion -- 3.4 Crop Phenology Estimation Using SAR Polarimetry -- 3.4.1 Introduction, Motivation and Literature Review -- 3.4.2 Methodology -- 3.4.3 Experimental Results -- 3.4.3.1 Analysis -- 3.4.3.1.1 Cereals -- 3.4.3.1.2 Canola -- 3.4.3.1.3 Field Pea -- 3.4.3.2 Retrieval Algorithms -- 3.4.3.3 Results and Validation -- 3.4.3.3.1 Wheat -- 3.4.3.3.2 Oat -- 3.4.3.3.3 Barley -- 3.4.4 Comparison with Single-/Dual-Polarisation Data -- 3.4.5 Discussion on Role of Polarimetry, on the Maturity of the Application and Conclusions -- 3.5 Wetland Observation -- 3.5.1 C-Band Polarimetric Time Series for Delineating and Monitoring Seasonal Dynamics of Wetlands -- 3.5.1.1 Introduction, Motivation and Literature Review -- 3.5.1.2 Methodology -- 3.5.1.3 Experimental Results -- 3.5.1.4 Comparison with Single-/Dual-Polarisation Data -- 3.5.1.5 Discussion on the Role of Polarisation, on the Maturity of the Application and Conclusions -- 3.5.2 Tropical Wetland Characterisation with Polarimetric SAR -- 3.5.2.1 Introduction, Motivation and Literature Review -- 3.5.2.2 Methodology -- 3.5.2.3 Experimental Results -- 3.5.2.4 Comparison with Single-/Dual-Polarisation Data -- 3.5.2.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions. 3.5.3 Subarctic Peatland Characterisation and Monitoring -- 3.5.3.1 Introduction, Motivation and Literature Review -- 3.5.3.2 Experimental Results -- 3.5.3.2.1 La Baie des Mines -- Peatland Hydrology Characteristics for Bog-Fen Discrimination -- Application of the Touzi Decomposition to Polarimetric ALOS Data: Required Processing Window Size for Unbiased ICTD -- Analysis of the ALOS Acquisitions -- Peatland Subsurface Water Flow Monitoring Using Polarimetric May and November ALOS Acquisitions: Multi-polarisation Versus Pol... -- 3.5.3.2.2 Wapusk National Park -- 3.5.3.3 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 3.5.3.4 Acknowledgement -- 3.6 Monitoring Change Detection Produced by Tsunamis and Earthquakes by Using a Fully Polarimetric Model-Based Decomposition -- 3.6.1 Introduction, Motivation and Literature Review -- 3.6.2 Methodology -- 3.6.3 Experimental Results -- 3.6.4 Comparison with Single-/Dual-Polarisation Data -- 3.6.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions -- 3.7 Summary (Table 3.13) -- References -- 4: Cryosphere Applications -- 4.1 Introduction -- 4.2 Land Ice Extinction Estimation Using PolInSAR -- 4.2.1 Introduction, Motivation, and Literature Review -- 4.2.2 Methodology -- 4.2.3 Experimental Results -- 4.2.4 Comparison with Single/Dual Polarisation Data -- 4.2.5 Discussion on the Role of Polarimetry, on the Maturity of the Application, and Conclusions -- 4.3 Snow Water Equivalent Retrieval -- 4.3.1 Introduction, Motivation, and Literature Review -- 4.3.2 Methodology -- 4.3.2.1 Polarimetric Decomposition for Snow-Covered Areas -- 4.3.2.2 Snow Water Equivalent Retrieval Algorithm -- 4.3.3 Experimental Results -- 4.3.4 Comparison with Single/Dual Polarisation Data. 4.3.5 Discussion on the Role of Polarimetry, on the Maturity of the Application and Conclusions. |
| Record Nr. | UNINA-9910473456003321 |
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Hajnsek Irena
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advancements in Radar Imaging and Sensing Technology
| Recent Advancements in Radar Imaging and Sensing Technology |
| Autore | Samczynski Piotr |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (394 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
microwave staring correlated imaging (MSCI)
gain–phase errors strip self-calibration distributed MIMO radar target localization double-sided bistatic range (BR) microwave staring correlated imaging unsteady aerostat platform motion parameter fitting position error radar imaging synthetic aperture radar compressed sensing sparse reconstruction regularization passive forward scattering radar chirp rate estimation passive radar forward scattering radar radar measurements time-frequency analysis bistatic synthetic aperture radar (SAR) hyperbolic approximation phase compensation modified omega-K ground-penetrating radar noise suppression singular value decomposition Hankel matrix window length optimization synthetic aperture radar (SAR) high resolution wide swath (HRWS) azimuth multichannel reconstruction phase center adaptation false targets suppression damped exponential (DE) model inverse synthetic aperture radar (ISAR) radar signatures state–space approach (SSA) sparse representation polarimetric SAR tomography MIMO radar noise radar radar signal processing techniques analogue correlation modern radar applications delay line high pulse repetition frequency (HPRF) random frequency hopping (RFH) hypersonic aircraft SAR Synthetic Aperture Radar ASIFT Despeckling Filter Navigation Structure from Motion Iterative Closest Point radar tomography compressive sensing bistatic radar parameter-refined orthogonal matching pursuit (PROMP) orthogonal matching pursuit (OMP) k-space tomography narrowband radar off-grid compressive sensing slow-time k-space spatial frequency Doppler radar tomography k-space augmentation high-resolution narrowband radar multiband processing bandwidth stitching multi-scale representation learning (MSRL) pyramid pooling module (PPM) compact depth-wise separable convolution (CSeConv) convolution auto-encoder (CAE) object classification CARABAS II ground scene prediction image stack multi-pass SAR images moving targets inverse SAR (ISAR) motion compensation hybrid SAR/ISAR improved rank-one phase estimation (IROPE) Gaofen-3 (GF-3) assive radar time-frequency reassignment |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557350803321 |
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Samczynski Piotr
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing in Agriculture: State-of-the-Art
| Remote Sensing in Agriculture: State-of-the-Art |
| Autore | Borgogno-Mondino Enrico |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (220 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
feature selection
spectral angle mapper support vector machine support vector regression hyperspectral imaging UAV cross-scale yellow rust spatial resolution winter wheat MODIS northern Mongolia remote sensing indices spring wheat yield estimation UAV-based LiDAR biomass crop height field phenotyping oasis crop type mapping Sentinel-1 and 2 integration statistically homogeneous pixels (SHPs) red-edge spectral bands and indices recursive feature increment (RFI) random forest (RF) unmanned aerial vehicles (UAVs) remote sensing (RS) thermal UAV RS thermal infrared (TIR) precision agriculture (PA) crop water stress monitoring plant disease detection vegetation status monitoring Landsat data blending crop yield prediction gap-filling volumetric soil moisture synthetic aperture radar (SAR) Sentinel-1 soil moisture semi-empirical model soil moisture Karnataka India reflectance digital number (DN) vegetation index (VI) Parrot Sequoia (Sequoia) DJI Phantom 4 Multispectral (P4M) Synthetic Aperture Radar SAR lodging Hidden Markov Random Field HMRF CDL corn soybean crop Monitoring crop management apple orchard damage polarimetric decomposition entropy anisotropy alpha angle storm damage mapping economic loss insurance support |
| ISBN | 3-0365-5484-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Remote Sensing in Agriculture |
| Record Nr. | UNINA-9910637779903321 |
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Borgogno-Mondino Enrico
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of the Oceans : Blue Economy and Marine Pollution
| Remote Sensing of the Oceans : Blue Economy and Marine Pollution |
| Autore | Buono Andrea |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (224 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
ocean modeling
counter-flow vertical migration Kuroshio intrusion marine economy storm surge tropical cyclone size (TC size) ideal test marine-economic effects Northern East China Sea (NECS) surface currents HF radar eddy detection algorithms general compact polarimetry hybrid dual-polarization oil spill discrimination target decomposition ocean environment oil spill Synthetic Aperture Radar polarimetric decomposition superpixel convolutional neural networks unmanned-aerial-vehicles UAVs anthropogenic-marine-debris AMD beached-marine-litter BML marine-protected-areas MPA ortho-photo marine-pollution accumulation-rate synthetic aperture radar (SAR) moving vessel multicomponent polynomial phase signal(mc-PPS) adaptive joint time-frequency (AJTF) decomposition co-evolutionary particle swarm optimization airborne HF/VHF radar sea echo mathematical model radar cross section marine raft aquaculture Sentinel-1 nonsubsampled contourlet transform semantic segmentation fully convolutional network SAR images shoreline extraction geometric active contour model SAR sentinel-1 low-backscattering areas azimuth autocorrelation function |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Remote Sensing of the Oceans |
| Record Nr. | UNINA-9910557667403321 |
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Buono Andrea
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sea Surface Roughness Observed by High Resolution Radar
| Sea Surface Roughness Observed by High Resolution Radar |
| Autore | Li Xiaofeng |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (202 p.) |
| Soggetto non controllato |
dispersion curve filtering
Synthetic Aperture Radar RADARSAT Constellation Mission (RCM) marine X-band radar compact polarization (CP) cross-polarization proper orthogonal decomposition rain right circular horizontal polarization model support vector machines Sentinel-1 wind speed wave height hurricane ocean surface waves SMAP Copernicus synthetic aperture radar co-polarized phase difference synthetic aperture radar (SAR) oceans fetch- and duration-limited wave growth relationships Wake detection air-sea interaction phase-resolved wave fields wind SAR CoVe-Pol and CoHo-Pol models Baltic Sea wind retrieval ocean surface wind speed retrieval CMEMS detectability model right circular vertical polarization model hurricane internal dynamical process ocean winds polarimetry sea surface roughness eyewall replacement cycles GF-3 dual-polarization quad-polarized SAR typhoon/hurricane-generated wind waves coast and ocean observation radar geophysical model function (GMF) Doppler radar |
| ISBN | 3-03921-747-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367750503321 |
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Li Xiaofeng
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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