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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 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  
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
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  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
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 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  
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 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  
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 / 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  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui