Results 11 to 20 of about 7,886 (195)
European Journal of Remote Sensing, 2021 Synthetic aperture radar (SAR), with all-day and all-weather observation capabilities, can capture the phenology of crops with short growth cycles to improve land cover classification results.
Di Liu +5 more
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Remote Sensing, 2020 The utilization of advanced remote sensing methods to monitor the coastal wetlands is essential for conservation and sustainable development. With multiple polarimetric channels, the polarimetric synthetic aperture radar (PolSAR) is increasingly employed
Yuanyuan Chen +4 more
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General Two-Stage Model-Based Three-Component Hybrid Compact Polarimetric SAR Decomposition Method
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Polarimetric decomposition is an effective way for synthetic aperture radar (SAR) data interpretation. As for hybrid compact polarimetric (HCP) SAR, there are mainly two different types of decomposition methods, including wave-dichotomy-theorem-based and
Wentao Hou +3 more
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Coherency Matrix Decomposition-Based Polarimetric Persistent Scatterer Interferometry [PDF]
, 2019 © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new ...
Mallorquí Franquet, Jordi Joan +1 more
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Remote Sensing, 2020 Oil spill detection plays an important role in marine environment protection. Quad-polarimetric Synthetic Aperture Radar (SAR) has been proved to have great potential for this task, and different SAR polarimetric features have the advantages to recognize
Jin Zhang +5 more
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Oil spill detection from SAR image using SVM based classification [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 In this paper, the potential of fully polarimetric L-band SAR data for detecting sea oil spills is investigated using polarimetric decompositions and texture analysis based on SVM classifier.
A. A. Matkan, M. Hajeb, Z. Azarakhsh
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Improved POLSAR Image Classification by the Use of Multi-Feature Combination
Remote Sensing, 2015 Polarimetric SAR (POLSAR) provides a rich set of information about objects on land surfaces. However, not all information works on land surface classification.
Lei Deng, Ya-nan Yan, Cuizhen Wang
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Freeman-Durden Decomposition with Oriented Dihedral Scattering
Leida xuebao, 2014 In this paper, when the azimuth direction of polarimetric Synthetic Aperature Radars (SAR) differs from the planting direction of crops, the double bounce of the incident electromagnetic waves from the terrain surface to the growing crops is investigated
Yan Jian, Li Yang, Yin Qiang, Hong Wen
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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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ALTERNATIVE TO FOUR-COMPONENT DECOMPOSITION FOR POLARIMETRIC SAR [PDF]
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 There are more unknowns than equations to solve for previous four-component decomposition methods. In this case, the nonnegative power of each scattering mechanism has to be determined with some assumptions and physical power constraints. This paper presents a new decomposition scheme, which models the measured matrix after polarimetric orientation ...
J. X. Zhang +3 more
openaire +3 more sources