Polarimetric Incoherent Target Decomposition by Means of Independent Component Analysis [PDF]
, 2015 International audienceThis paper presents an alternative approach for polarimetric incoherent target decomposition dedicated to the analysis of very-high resolution POLSAR images.
Besic, Nikola +3 more
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Nonlinear Manifold Learning Integrated with Fully Convolutional Networks for PolSAR Image Classification [PDF]
, 2020 Chu He +3 more
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Heterogeneous Clutter Model for High-Resolution Polarimetric SAR Data Processing [PDF]
, 2011 International audienceThis paper presents a new estimation scheme for optimally deriving clutter parameters with high resolution POLSAR data. The heterogeneous clutter in POLSAR data is described by the Spherically Invariant Random Vectors model.
Formont, Pierre +3 more
core +2 more sources
Segmentation and Classification of Polarimetric SAR Data based on the KummerU Distribution [PDF]
, 2009 International audienceThinner spatial features can be observed from the high resolution of newly available spaceborne and airborne SAR images. Heterogeneous clutter models should be used to model the covariance matrix because each resolution cell ...
Bombrun, Lionel +5 more
core +3 more sources
Modelling PolSAR Scattering Signatures at Long Wavelengths of Glacier Ice Volumes [PDF]
, 2012 The crucial role of cryosphere for understanding the global climate change has been widely recognized in recent decades [1]. Glaciers and ice sheets are the main components of the cryosphere and constitute the basic reservoir of fresh water for high ...
Al-Kahachi, Noora +4 more
core
Statistical assessment of eigenvector-based target decomposition theorems in radar polarimetry [PDF]
, 2005 © 2005 IEEE.Carlos López-Martínez, Eric Pottier and Shane R ...
Cloude, Shane Robert +2 more
core +2 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
Classification for Polsar image based on hölder divergences
The Journal of Engineering, 2019 (Dis)similarity measures play an important role in the interpretation of polarimetric synthetic aperture radar (PolSAR) images. Here, the authors introduce a kind of similarity measures for PolSAR images based on the concepts of Hölder pseudo-divergence ...
Ting Pan +4 more
doaj +1 more source
Remote SensingPolSAR image classification has attracted extensive significant research in recent decades. Aiming at improving PolSAR classification performance with speckle noise, this paper proposes an active complex-valued convolutional-wavelet neural network by ...
Lu Liu, Yongxiang Li
doaj +1 more source
Graph Convolutional Networks by Architecture Search for PolSAR Image Classification [PDF]
, 2021 Hongying Liu +6 more
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