Results 81 to 90 of about 2,421 (185)
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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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
doaj +1 more source
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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Earth and Space Science, Volume 11, Issue 1, January 2024.Abstract The potential of single date fully Polarimetric RADARSAT‐2 data in retrieving crop biophysical parameters using Machine Learning techniques was investigated. Various polarimetric parameters along with coherent and incoherent decomposition techniques were assessed for its sensitivity toward crop parameters like Wet and Dry Biomass, Crop Height,
Dharanya Thulasiraman +4 more
wiley +1 more source
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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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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PolSAR Classification Using Contextual Based Locality Preserving Projection and Guided Filtering
International Journal of Information and Communication Technology Research, 2021 Contextual feature extraction is studied for polarimetric synthetic aperture radar (PolSAR) image classification in this work. The contextual locality preserving projection (CLPP) method is proposed for generation of contextual feature cubes using ...
Maryam Imani
doaj
Optimal Parameter Estimation in Heterogeneous Clutter for High Resolution Polarimetric SAR Data [PDF]
, 2010 International audienceThis letter presents a new estimation scheme for optimally deriving clutter parameters with high-resolution polarimetric synthetic aperture radar (POLSAR) data.
Formont, Pierre +4 more
core +6 more sources
Visualization of Skewed Data: A Tool in R [PDF]
, 2014 In this work we present a visualization tool specifically tailored to deal with skewed data. The technique is based upon the use of two types of notched boxplots (the usual one, and one which is tuned for the skewness of the data), the violin plot, the ...
Frery, A. C. +2 more
core +2 more sources