Segmentation-Based PolSAR Image Classification Using Visual Features: RHLBP and Color Features
Remote Sensing, 2015 A segmentation-based fully-polarimetric synthetic aperture radar (PolSAR) image classification method that incorporates texture features and color features is designed and implemented.
Jian Cheng, Yaqi Ji, Haijun Liu
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Iterative Bilateral Filtering of Polarimetric SAR Data
, 2013 In this paper, we introduce an iterative speckle filtering method for polarimetric SAR (PolSAR) images based on the bilateral filter. To locally adapt to the spatial structure of images, this filter relies on pixel similarities in both spatial and ...
D'Hondt, Olivier +2 more
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Sensitivity of Main Polarimetric Parameters of Multifrequency Polarimetric SAR Data to Soil Moisture and Surface Roughness Over Bare Agricultural Soils [PDF]
, 2013 International audienceThe potential of polarimetric synthetic aperture radar data for the soil surface characterization of bare agricultural soils was investigated by using air- and spaceborne data acquired by Radar Aéroporté Multi-Spectral d'Etude des ...
Baghdadi, Nicolas +3 more
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Polarimetric SAR Image Object Segmentation via Level Set with Stationary Global Minimum
EURASIP Journal on Advances in Signal Processing, 2010 We present a level set-based method for object segmentation in polarimetric synthetic aperture radar (PolSAR) images. In our method, a modified energy functional via active contour model is proposed based on complex Gaussian/Wishart distribution model ...
Wen Yang, Yongmin Shuai, Hong Sun
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A Quality Assessment Method Based on Common Distributed Targets for GF-3 Polarimetric SAR Data
Sensors, 2018 The GaoFen-3 (GF-3) satellite, launched on 10 August 2016, is the first C-band polarimetric synthetic aperture radar (PolSAR) satellite in China. The PolSAR system of GF-3 can collect a significant wealth of information for geophysical research and ...
Sha Jiang +3 more
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Object-Based Classification of PolSAR Images Based on Spatial and Semantic Features
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 High-resolution polarimatric synthetic aperture radar (PolSAR) images can provide more detail information on land-cover types and increase the image complexity at the same time.
Bin Zou, Xiaofang Xu, Lamei Zhang
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Improvement of PolSAR Decomposition Scattering Powers Using a Relative Decorrelation Measure
, 2017 In this letter, a methodology is proposed to improve the scattering powers obtained from model-based decomposition using Polarimetric Synthetic Aperture Radar (PolSAR) data.
Bhattacharya, A. +2 more
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Degree of Polarization-Based Data Filter for Fully Polarimetric Synthetic Aperture Radar [PDF]
, 2019 This paper proposes a novel data filtering algorithm for fully polarimetric synthetic aperture radar (PolSAR) based on the degree of polarization (DoP) information.
Akira Hirose, Fang Shang, Naoto Kishi
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Classification of Polarimetric SAR Images Based on the Riemannian Manifold
Leida xuebao, 2017 Classification is one of the core components in the interpretation of Polarimetric Synthetic Aperture Radar (PolSAR) images. A new PolSAR image classification approach employs the structural properties of the Riemannian manifold formed by PolSAR ...
Yang Wen +3 more
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Polarimetric SAR Image Classification Using Multiple-feature Fusion and Ensemble Learning
Leida xuebao, 2016 In this paper, we propose a supervised classification algorithm for Polarimetric Synthetic Aperture Radar (PolSAR) images using multiple-feature fusion and ensemble learning.
Sun Xun +3 more
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