On the Extension of Multidimensional Speckle Noise Model From Single-Look to Multilook SAR Imagery [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2007 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 due to the complexity of the scattering process.
López Martínez, Carlos, Pottier, Eric
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A 15-year circum-Antarctic iceberg calving dataset derived from continuous satellite observations [PDF]
Earth System Science Data, 2021 Iceberg calving is the main process that facilitates the dynamic mass loss of ice sheets into the ocean, which accounts for approximately half of the mass loss of the Antarctic ice sheet.
M. Qi +14 more
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Shannon Entropy for the
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Synthetic aperture radar (SAR) has been successfully used as a remote sensing tool. However, SAR images are contaminated by speckle noise and require specialized postprocessing procedures; e.g, tailored segmenters.
Jodavid de A. Ferreira +1 more
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Optical and SAR data integration for automatic change pattern detection [PDF]
, 2014 ISPRS Technical Commission VII Symposium, 29 September – 2 October 2014, Istanbul, TurkeyAutomatic change pattern mapping in urban and sub-urban area is important but challenging due to the diversity of urban land use pattern.
B. Mishra, J. Susaki
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Optimum graph cuts for pruning binary partition trees of polarimetric SAR images [PDF]
, 2016 This paper investigates several optimum graph-cut techniques for pruning binary partition trees (BPTs) and their usefulness for the low-level processing of polarimetric synthetic aperture radar (PolSAR) images.
Foucher, Samuel +1 more
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On the use of the l(2)-norm for texture analysis of polarimetric SAR data [PDF]
, 2016 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 polarimetric channels separately ...
Deng, xinping, López Martínez, Carlos
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Deep learning in remote sensing: a review [PDF]
, 2017 Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich +6 more
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Automatic and semi-automatic extraction of curvilinear features from SAR images [PDF]
, 2012 Extraction of curvilinear features from synthetic aperture radar (SAR) images is important for automatic recognition of various targets, such as fences, surrounding the buildings.
Akyılmaz, Emre +5 more
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Analytic Expressions for Stochastic Distances Between Relaxed Complex Wishart Distributions [PDF]
, 2013 The scaled complex Wishart distribution is a widely used model for multilook full polarimetric SAR data whose adequacy has been attested in the literature.
Cintra, Renato J. +2 more
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Land Subsidence Monitoring in Greater Vancouver Through Synergy of InSAR and Polarimetric Analysis
Canadian Journal of Remote Sensing, 2018 Up-to-date spatial information on ground movements and land use is useful for emergency management of coastal regions. Time series InSAR techniques have proven to be effective tools for providing the former; however, InSAR results alone cannot be used to
Zhaohua Chen +2 more
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