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 online resource (218 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
applied geophysics
archaeological prospection attribute analysis clutter noise removal coherence coherency functionals deep convolutional denoising autoencoders (CDAEs) deep convolutional denoising autoencoders with network structure optimization (CDAEsNSO) digital signal processing enhancement of 3D-GPR datasets Gaussian spike impulse noise GPR GPR data migration GPR data processing GPR trace ground penetrating radar Ground Penetrating Radar Ground Penetrating Radar (GPR) ground-penetrating radar Ground-Penetrating Radar high-resolution data imaging imaging radar Improvised Explosive Device landmine landmine and IED detection large-scale survey machine learning MIMO radar modeling n/a neural networks noise attenuation non-destructive testing nondestructive testing pipeline identification pipelines detection radar radar image enhancing Real Time Kinematic (RTK) semblance signal processing snow snow water equivalent (SWE) snowpack multilayer reflectance software defined radio (SDR) spatial-variant convolution kernel (SV-CK) spatial-variant convolution neural network (SV-CNN) spectral filtering stepped-frequency continuous wave radar (SFCW) support vector machine Synthetic Aperture Radar Synthetic Aperture Radar (SAR) Ultra-Wide-Band (UWB) Unmanned Aerial Vehicles (UAVs) velocity analysis wavelet scattering network |
| 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 | ||
| 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 |
| Classificazione | SCI030000SCI063000TEC003000TEC003040TEC008000TEC036000 |
| 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 |
Hajnsek Irena
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| Springer Nature, 2021 | ||
| 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 online resource (394 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
analogue correlation
ASIFT assive radar azimuth multichannel reconstruction bandwidth stitching bistatic radar bistatic synthetic aperture radar (SAR) CARABAS II chirp rate estimation compact depth-wise separable convolution (CSeConv) compressed sensing compressive sensing convolution auto-encoder (CAE) damped exponential (DE) model delay line Despeckling Filter distributed MIMO radar Doppler radar tomography double-sided bistatic range (BR) false targets suppression forward scattering radar gain-phase errors Gaofen-3 (GF-3) ground scene prediction ground-penetrating radar Hankel matrix high pulse repetition frequency (HPRF) high resolution wide swath (HRWS) high-resolution narrowband radar hybrid SAR/ISAR hyperbolic approximation hypersonic aircraft image stack improved rank-one phase estimation (IROPE) inverse SAR (ISAR) inverse synthetic aperture radar (ISAR) Iterative Closest Point k-space augmentation k-space tomography microwave staring correlated imaging microwave staring correlated imaging (MSCI) MIMO radar modern radar applications modified omega-K motion compensation motion parameter fitting moving targets multi-pass multi-scale representation learning (MSRL) multiband processing narrowband radar Navigation noise radar noise suppression object classification off-grid compressive sensing orthogonal matching pursuit (OMP) parameter-refined orthogonal matching pursuit (PROMP) passive forward scattering radar passive radar phase center adaptation phase compensation polarimetric position error pyramid pooling module (PPM) radar imaging radar measurements radar signal processing techniques radar signatures radar tomography random frequency hopping (RFH) regularization SAR SAR images SAR tomography self-calibration singular value decomposition slow-time k-space sparse reconstruction sparse representation spatial frequency state-space approach (SSA) strip Structure from Motion synthetic aperture radar Synthetic Aperture Radar synthetic aperture radar (SAR) target localization time-frequency analysis time-frequency reassignment unsteady aerostat platform window length optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557350803321 |
Samczynski Piotr
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| 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 online resource (220 p.) |
| Soggetto topico |
Environmental science, engineering and technology
History of engineering and technology Technology: general issues |
| Soggetto non controllato |
alpha angle
anisotropy apple orchard damage biomass CDL corn crop height crop management crop Monitoring crop water stress monitoring crop yield prediction cross-scale data blending digital number (DN) DJI Phantom 4 Multispectral (P4M) economic loss entropy feature selection field phenotyping gap-filling Hidden Markov Random Field HMRF hyperspectral imaging insurance support Landsat lodging MODIS northern Mongolia oasis crop type mapping Parrot Sequoia (Sequoia) plant disease detection polarimetric decomposition precision agriculture (PA) random forest (RF) recursive feature increment (RFI) red-edge spectral bands and indices reflectance remote sensing (RS) remote sensing indices SAR Sentinel-1 Sentinel-1 and 2 integration soil moisture Karnataka India soil moisture semi-empirical model soybean spatial resolution spectral angle mapper spring wheat statistically homogeneous pixels (SHPs) storm damage mapping support vector machine support vector regression Synthetic Aperture Radar synthetic aperture radar (SAR) thermal infrared (TIR) thermal UAV RS UAV UAV-based LiDAR unmanned aerial vehicles (UAVs) vegetation index (VI) vegetation status monitoring volumetric soil moisture winter wheat yellow rust yield estimation |
| 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 |
Borgogno-Mondino Enrico
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| 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 online resource (224 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
accumulation-rate
adaptive joint time-frequency (AJTF) decomposition airborne HF/VHF radar AMD anthropogenic-marine-debris azimuth autocorrelation function beached-marine-litter BML co-evolutionary particle swarm optimization convolutional neural networks counter-flow eddy detection algorithms fully convolutional network general compact polarimetry geometric active contour model HF radar hybrid dual-polarization ideal test Kuroshio intrusion low-backscattering areas marine economy marine raft aquaculture marine-economic effects marine-pollution marine-protected-areas mathematical model moving vessel MPA multicomponent polynomial phase signal(mc-PPS) n/a nonsubsampled contourlet transform Northern East China Sea (NECS) ocean environment ocean modeling oil spill oil spill discrimination ortho-photo polarimetric decomposition radar cross section SAR SAR images sea echo semantic segmentation sentinel-1 Sentinel-1 shoreline extraction storm surge superpixel surface currents Synthetic Aperture Radar synthetic aperture radar (SAR) target decomposition tropical cyclone size (TC size) UAVs unmanned-aerial-vehicles vertical migration |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Remote Sensing of the Oceans |
| Record Nr. | UNINA-9910557667403321 |
Buono Andrea
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Sea Surface Roughness Observed by High Resolution Radar / Susanne Lehner, Xiaofeng Li, Atsushi Fujimura, Alex Soloviev
| Sea Surface Roughness Observed by High Resolution Radar / Susanne Lehner, Xiaofeng Li, Atsushi Fujimura, Alex Soloviev |
| Autore | Lehner Susanne |
| 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 |
9783039217472
303921747X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367750503321 |
Lehner Susanne
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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