Results 11 to 20 of about 134,123 (233)

Polarimetric Synthetic Aperture Radar Interpretation and Recognition: Advances and Perspectives

open access: yesLeida xuebao, 2020
Polarimetric Synthetic Aperture Radar (SAR), which can acquire fully polarimetric information, is widely used in civilian and military fields, such as earth observation, damage assessment, and reconnaissance.
WANG Xuesong, CHEN Siwei
doaj   +1 more source

Performance evaluation of backscattering coefficients and polarimetric decomposition parameters for marsh vegetation mapping using multi-sensor and multi-frequency SAR images

open access: yesEcological Indicators, 2023
Wetland vegetation is the basis for wetland ecosystems to regulate climate change, carbon sequestration and maintain biodiversity. Therefore, high-precision mapping and dynamic monitoring of wetland vegetation are essential for the effective management ...
Bolin Fu   +7 more
doaj   +1 more source

Polarimetric Decomposition With an Urban Area Descriptor for Compact Polarimetric SAR Data

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The compact polarimetric (CP) synthetic aperture radar (SAR) can alleviate the drawbacks of the fully polarimetric (FP) SAR and provide more target information as compared to the conventional single polarimetric and dual polarimetric mode.
Qiang Yin   +4 more
doaj   +1 more source

ON THE ESTIMATION OF POLARIMETRIC PARAMETERS FOR OIL SLICK FEATURE DETECTION FROM HYBRID POL AND DERIVED PSEUDO QUAD POL SAR DATA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Oil spills in oceans have a significant long term effect on the marine ecosystem and are of prime concern for maritime economy. In order to locate and estimate the oil spread area and for quantitative damage assessment, it is required to continually ...
S. Hari Priya   +3 more
doaj   +1 more source

POLARIMETRIC MINISAR MAPPING SYSTEM [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Polarimetric MiniSAR is a ku-band fully polarimetric SAR mapping system that is being developed at CASM (Chinese Academy of Surveying and Mapping). The system consists of a ku-band fully polarimetric miniSAR data acquisition system and a set of miniSAR ...
J. X. Zhang   +5 more
doaj   +1 more source

Comparison of Oil Spill Classifications Using Fully and Compact Polarimetric SAR Images

open access: yesApplied Sciences, 2017
In this paper, we present a comparison between several algorithms for oil spill classifications using fully and compact polarimetric SAR images. Oil spill is considered as one of the most significant sources of marine pollution.
Yuanzhi Zhang   +3 more
doaj   +1 more source

A Data-Adaptive Compressed Sensing Approach to Polarimetric SAR Tomography of Forested Areas [PDF]

open access: yes, 2013
Super-resolution imaging via compressed sensing (CS)-based spectral estimators has been recently introduced to synthetic aperture radar (SAR) tomography.
Nannini, Matteo   +2 more
core   +1 more source

Improved Algorithm of Decorrelated Target Detection for Polarimetric SAR Images [PDF]

open access: yesJisuanji gongcheng, 2016
For the characterisitcs of multi-channel data of the polarimetric Synthetic Aperture Radar(SAR) image,an improved algorithm of polarimetric SAR image decorrelation target detection is proposed.The classical Polarimetric Matching Filter (PMF) metric is ...
LI Yanwei,WANG Xuerui
doaj   +1 more source

Under-Foliage Object Imaging Using SAR Tomography and Polarimetric Spectral Estimators [PDF]

open access: yes, 2012
International audienceThis paper addresses the imaging of objects located under a forest cover using polarimetric synthetic aperture radar tomography (POLTOMSAR) at L-band.
Huang, Yue   +5 more
core   +1 more source

Multi-Frequency Polarimetric SAR Classification Based on Riemannian Manifold and Simultaneous Sparse Representation

open access: yesRemote Sensing, 2015
Normally, polarimetric SAR classification is a high-dimensional nonlinear mapping problem. In the realm of pattern recognition, sparse representation is a very efficacious and powerful approach.
Fan Yang, Wei Gao, Bin Xu, Jian Yang
doaj   +1 more source

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