Results 91 to 100 of about 5,464 (214)
A Non-Parametric Texture Descriptor for Polarimetric SAR Data with Applications to Supervised Classification [PDF]
, 2014 The paper describes a novel representation of polarimetric SAR (PolSAR) data that is inherently non-parametric and therefore particularly suited for characterising data in which the commonly adopted hypothesis of Gaussian backscatter is not ...
Jäger, Marc, Reigber, Andreas
core
Semiparametric constant false alarm rate method for radar and sonar images
Electronics Letters, Volume 60, Issue 5, March 2024.This study proposed a novel constant false alarm rate (CFAR) method based on Gaussian mixture model (GMM). The reason for starting this work is that some new polarimetric detectors and the high‐resolution cases may lead to the failure of traditional parametric model.
Ke Li, Peng Zhang, Ziyuan Yang
wiley +1 more source
IET Radar, Sonar &Navigation, Volume 18, Issue 3, Page 379-409, March 2024.The designed SSELF can automatically extract PolSAR features conducive to PolSAR image classification with a small number of training samples. Also, the designed deep learning model can obtain the effective features of homogeneous samples gathering together and heterogeneous samples separating from each other in a self‐supervised manner.
Mohsen Darvishnezhad, Mohammad Ali Sebt
wiley +1 more source
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
core +1 more source
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
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
CV-CPKAN: Complex-Valued Convolutional Kolmogorov–Arnold Framework for PolSAR Image Classification
Remote SensingDeep learning has significantly advanced PolSAR image processing, with a growing trend of integrating mathematical theories into deep neural networks to enhance their capabilities with regard to complex data.
Zuzheng Kuang +4 more
doaj +1 more source
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
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
Wavelet Operators and Multiplicative Observation Models -Application to SAR Image Time Series Analysis [PDF]
, 2016 International audienceThis paper first provides statistical properties of wavelet operators when the observation model can be seen as the product of a deterministic piece-wise regular function (signal) and a stationary random field (noise).
Atto, Abdourrahmane +3 more
core +2 more sources