Ara es mostren els items 63-82 de 132

    • Impact of wind-induced scatterers motion on GB-SAR imaging 

      Lort Cuenca, Marc; Aguasca Solé, Alberto; López Martínez, Carlos; Fabregas Canovas, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2018-08-13)
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      Accés obert
      Ground-based synthetic aperture radar (GB-SAR) sensors represent a cost-effective solution for change detection and ground displacement assessment of small-scale areas in real-time early warning applications. GB-SAR systems ...
    • Implementing the European Space Agency’s SentiNel application platform’s open-source Python module for differential synthetic aperture radar interferometry coseismic ground deformation from Sentinel-1 data 

      Occhipinti, Martina; Carboni, Filippo; Amorini, Shaila; Paltriccia, Nicola; López Martínez, Carlos; Porreca, Massimiliano (Multidisciplinary Digital Publishing Institute (MDPI), 2023-12-21)
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      Accés obert
      Differential SAR Interferometry is a largely exploited technique to study ground deformations. A key application is the detection of the effects promoted by earthquakes, including detailed variations in ground deformations ...
    • Improving the wishart synthetic aperture radar image classifications through deterministic simulated annealing 

      Sánchez Lladó, Francisco Javier; Pajares Martinsanz, Gonzalo; López Martínez, Carlos (2011-11)
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      Accés restringit per política de l'editorial
      This paper proposes the use of Deterministic Simulated Annealing (DSA) for Synthetic Aperture Radar (SAR) image classification for cluster refinement. We use the initial classification provided by the maximum- likelihood ...
    • Improving wishart classification of polarimetric SAR data using the hopfield neural network optimization approach 

      Pajares Martinsanz, Gonzalo; López Martínez, Carlos; Sánchez Lladó, Francisco Javier; Molina, Iñigo (2012-11-19)
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      Accés restringit per política de l'editorial
      This paper proposes the optimization relaxation approach based on the analogue Hopfield Neural Network (HNN) for cluster refinement of pre-classified Polarimetric Synthetic Aperture Radar (PolSAR) image data. We consider ...
    • Influence of speckle filtering of polarimetric SAR data on different classification methods 

      Fang, Cao; Deladalle, Charles-Alban; Nicolas, Jean-Marie; Tupin, Florence; Denis, Loic; Ferro-Famil, Laurent; Pottier, Eric; López Martínez, Carlos (IEEE, 2011)
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      This paper analyzes the effects of speckle filtering on polarimetric SAR decomposition and classification. We compared the results of the refined Lee, IDAN and Non-Local Polarimetric filters, and discussed their ALOS/PALSAR ...
    • Initial evaluation of SAR capabilities in UAV multicopter platforms 

      Lort Cuenca, Marc; Aguasca Solé, Alberto; López Martínez, Carlos; Martínez Marín, Tomás (2017-10-04)
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      Accés obert
      Airborne synthetic aperture radar (SAR) sensors have been commonly used during the last decades to monitor different phenomena in medium-scale areas of observation, such as object detection and characterization or topographic ...
    • L-band SAR co-polarized phase difference modeling for corn fields 

      Barber, Matías Ernesto; Rava, David Sebastián; López Martínez, Carlos (Multidisciplinary Digital Publishing Institute (MDPI), 2021-11-15)
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      Accés obert
      This research aims at modeling the microwave backscatter of corn fields by coupling an incoherent, interaction-based scattering model with a semi-empirical bulk vegetation dielectric model. The scattering model is fitted ...
    • Land, jet stream, and other atmospheric effects on burned area estimation during the South Asian heatwave of 2022 

      Irawan, Amir Mustofa; Vall-Llossera Ferran, Mercedes Magdalena; López Martínez, Carlos; Camps Carmona, Adriano José; Chaparro Danon, David; Portal González, Gerard; Pablos Hernández, Miriam; Alonso González, Alberto (2024-04)
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      Accés obert
      Understanding the key variables that characterise fire propagation is important for a better estimation of fire events and their impacts. This study uses machine learning combined with satellite remote sensing and atmospheric ...
    • Large-scale automatic vessel monitoring based on dual-polarization sentinel-1 and AIS data 

      Pelich, Ramona; Chini, Marco; Hostache, Renaud; Matgen, Patrick; López Martínez, Carlos; Nuevo, Miguel; Ries, Phillipe; Eiden, Gerd (Multidisciplinary Digital Publishing Institute (MDPI), 2019-05-07)
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      Accés obert
      This research addresses the use of dual-polarimetric descriptors for automatic large-scale ship detection and characterization from synthetic aperture radar (SAR) data. Ship detection is usually performed independently on ...
    • Local isotropy indicator for SAR image filtering: application to Envisat/ASAR images of the Doñana Wetland 

      Martí Cardona, Belén; López Martínez, Carlos; Dolz Ripollès, Josep (2015-04)
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      Accés obert
      This paper explores a geometrical and computationally simple operator, named Ds, for local isotropy assessment on SAR images. It is assumed that isotropic intensity distributions in natural areas, either textured or ...
    • Local texture stationarity indicator for filtering Doñana wetlands SAR images 

      Martí Cardona, Belén; López Martínez, Carlos; Dolz Ripollès, Josep (IEEE, 2012)
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      This paper defines a new operator, named Ds, for local texture stationarity assessment on SAR images. . The aim is to discriminate heterogeneous targets from land cover types of high normalized variance values, as those ...
    • Low-level processing of PolSAR images with binary partition trees 

      Salembier Clairon, Philippe Jean; Foucher, Samuel; López Martínez, Carlos (Institute of Electrical and Electronics Engineers (IEEE), 2014)
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      This paper discusses the interest of Binary Partition Trees (BPTs) and the usefulness of graph cuts for low-level processing of PolSAR images. BPTs group pixels to form homogeneous regions, which are hierarchically structured ...
    • Modeling and reduction of SAR interferometric phase noise in the wavelet domain 

      López Martínez, Carlos; Fabregas Canovas, Francisco Javier (IEEE Press. Institute of Electrical and Electronics Engineers, 2002-12)
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      Accés obert
      This paper addresses the problem of interferometric phase noise reduction in synthetic aperture radar interferometry. A new phase noise model in the complex domain is introduced and validated by using both simulated and ...
    • Monitoring changes in the coastal environment based on SAR Sentinel-1 time-series 

      Pelich, Ramona; Chini, Marco; Hostache, Renaud; Matgen, Patrick; López Martínez, Carlos (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Text en actes de congrés
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      This research addresses the use of Sentinel-1 time series with the aim of detecting spatio-temporal changes in the coastal environment. To this end an automatic and unsupervised coastline detection method is proposed. ...
    • Multidimensional SAR data analysis based on binary partition trees and the covariance matrix geometry 

      Alonso González, Alberto; López Martínez, Carlos; Salembier Clairon, Philippe Jean; Valero Valbuena, Silvia; Chanussot, Jocelyn (2014)
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      In this paper, we propose the use of the Binary Partition Tree (BPT) as a region-based and multi-scale image representation to process multidimensional SAR data, with special emphasis on polarimetric SAR data. We also ...
    • Multidimensional speckle noise model 

      López Martínez, Carlos; Fabregas Canovas, Francisco Javier; Pottier, Eric (Hindawi Publishing Corporation., 2005-12-31)
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      Accés obert
    • Multitemporal SAR and polarimetric SAR optimization and classification: Reinterpreting temporal coherence 

      Ni, Jun; López Martínez, Carlos; Hu, Zhongbo; Zhang, Fan (Institute of Electrical and Electronics Engineers (IEEE), 2022)
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      Accés obert
      In multitemporal synthetic aperture radar (SAR) and polarimetric SAR (PolSAR), coherence is a capital parameter to exploit common information between temporal acquisitions. Yet, its use is limited to high coherences. This ...
    • On the extension of multidimensional speckle noise model from single-look to multilook SAR imagery 

      López Martínez, Carlos; Pottier, Eric (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2007-02-28)
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      Accés obert
      Speckle noise represents one of the major problems when synthetic aperture radar (SAR) data are considered. Despite the fact that speckle is caused by the scattering process itself, it must be considered as a noise source ...
    • On the use of the l(2)-norm for texture analysis of polarimetric SAR data 

      Deng, xinping; López Martínez, Carlos (Institute of Electrical and Electronics Engineers (IEEE), 2016-11-01)
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      Accés obert
      In this paper, the use of the l2-norm, or Span, of the scattering vectors is suggested for texture analysis of polarimetric synthetic aperture radar (SAR) data, with the benefits that we need neither an analysis of the ...
    • Past and new trends in polarimetric and multidimensional SAR data Speckle noise filtering 

      López Martínez, Carlos; Alonso González, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2014)
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      Speckle noise represents one of the main components of the multidimensional SAR signal that limit the complete exploitation of multidimensional SAR data, and polarimetric SAR data in particular. This paper consider the ...