Results 41 to 50 of about 3,590 (264)
Fast Matrix Inversion and Determinant Computation for Polarimetric Synthetic Aperture Radar
, 2018 This paper introduces a fast algorithm for simultaneous inversion and determinant computation of small sized matrices in the context of fully Polarimetric Synthetic Aperture Radar (PolSAR) image processing and analysis.
Cintra, R. J. +3 more
core +1 more source
A deep-neural-network-based hybrid method for semi-supervised classification of polarimetric SAR data [PDF]
, 2019 This paper proposes a deep-neural-network-based semi-supervised method for polarimetric synthetic aperture radar (PolSAR) data classification. The proposed method focuses on achieving a well-trained deep neural network (DNN) when the amount of the ...
Huang, Shaoguang +4 more
core +1 more source
PolSAR Image Land Cover Classification Based on Hierarchical Capsule Network
Remote Sensing, 2021 Polarimetric synthetic aperture radar (PolSAR) image classification is one of the basic methods of PolSAR image interpretation. Deep learning algorithms, especially convolutional neural networks (CNNs), have been widely used in PolSAR image ...
Jianda Cheng +5 more
doaj +1 more source
, 2017 In this letter, we propose a novel technique for obtaining scattering components from Polarimetric Synthetic Aperture Radar (PolSAR) data using the geodesic distance on the unit sphere.
Bhattacharya, Avik +2 more
core +1 more source
Optical images-based edge detection in Synthetic Aperture Radar images [PDF]
, 2015 We address the issue of adapting optical images-based edge detection techniques for use in Polarimetric Synthetic Aperture Radar (PolSAR) imagery. We modify the gravitational edge detection technique (inspired by the Law of Universal Gravity) proposed by
Barrenechea, Edurne +5 more
core +2 more sources
Robust Classification of PolSAR Images Based on Pinball loss Support Vector Machine
Leida xuebao, 2019 Given the problems that the amount of supervised information in the Polarimetric Synthetic Aperture Radar (PolSAR) image is low and the speckle noise is difficult to eliminate, in this study, a robust classification algorithm for PolSAR image based on ...
ZHANG Lamei +3 more
doaj +1 more source
Your Input Matters—Comparing Real-Valued PolSAR Data Representations for CNN-Based Segmentation
Remote Sensing, 2023 Inspired by the success of Convolutional Neural Network (CNN)-based deep learning methods for optical image segmentation, there is a growing interest in applying these methods to Polarimetric Synthetic Aperture Radar (PolSAR) data.
Sylvia Hochstuhl +4 more
doaj +1 more source
Imaging ionospheric inhomogeneities using spaceborne synthetic aperture radar [PDF]
, 2011 We present a technique and results of 2-D imaging of Faraday rotation and total electron content using spaceborne L band polarimetric synthetic aperture radar (PolSAR).
Chapman, B. +4 more
core +2 more sources
, 2015 We propose a new method for PolSAR (Polarimetric Synthetic Aperture Radar) imagery classification based on stochastic distances in the space of random matrices obeying complex Wishart distributions.
Alvarez, Luis +3 more
core +1 more source
Image fusion techniqes for remote sensing applications [PDF]
, 2002 Image fusion refers to the acquisition, processing and synergistic combination of information provided by various sensors or by the same sensor in many measuring contexts.
Bruzzone, Lorenzo +4 more
core +1 more source