Decomposition of Differential Games with Multiple Targets [PDF]
Journal of Optimization Theory and Applications, 2016 This paper provides a decomposition technique for the purpose of simplifying the solution of certain zero-sum differential games. The games considered terminate when the state reaches a target, which can be expressed as the union of a collection of ...
Festa, A, Vinter, RB
core +8 more sources
Moving Target Detection Using Dynamic Mode Decomposition [PDF]
Sensors, 2018 It is challenging to detect a moving target in the reverberant environment for a long time. In recent years, a kind of method based on low-rank and sparse theory was developed to study this problem.
Jingwei Yin +3 more
doaj +3 more sources
Joint Polarimetric-Adjacent Features Based on LCSR for PolSAR Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Image classification is a critical and important application in PolSAR image interpretation. Finding a feature extraction method, which can effectively describe the characteristics of the target, is an important basis for image classification.
Xiao Wang +3 more
doaj +1 more source
Land Cover Classification Based on Double Scatterer Model and Neural Networks
Geomatics, 2022 In this paper, a supervised land cover classification is presented based on the extracted information from polarimetric synthetic aperture radar (PolSAR) images.
Konstantinos Karachristos +1 more
doaj +1 more source
PolSAR Cell Information Representation by a Pair of Elementary Scatterers
Remote Sensing, 2022 This study exploits Cameron’s decomposition for polarimetric data analysis and presents an information extraction process so that each PolSAR cell (pixel) is interpreted by two dominating elementary scattering mechanisms each one contributing to the ...
Konstantinos Karachristos +2 more
doaj +1 more source
A Model-Free Four Component Scattering Power Decomposition for Polarimetric SAR Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Target decomposition methods from polarimetric Synthetic Aperture Radar (PolSAR) data provides target scattering information. In this regard, several conventional model-based methods use scattering power components to analyze polarimetric SAR data ...
Subhadip Dey +4 more
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Automatic Ship Detection Using PolSAR Imagery and the Double Scatterer Model
Geomatics, 2023 In ship detection by means of Polarimetric SAR imagery, a very promising feature is the characterization of the pixels of the ship based on the elementary scattering mechanisms that can be extracted using different decomposition algorithms.
Konstantinos Karachristos +1 more
doaj +1 more source
Framework for Reconstruction of Pseudo Quad Polarimetric Imagery from General Compact Polarimetry
Remote Sensing, 2021 Pseudo quad polarimetric (quad-pol) image reconstruction from the hybrid dual-pol (or compact polarimetric (CP)) synthetic aperture radar (SAR) imagery is a category of important techniques for radar polarimetric applications. There are three key aspects
Junjun Yin, Jian Yang
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Oil Spill Discrimination by Using General Compact Polarimetric SAR Features
Remote Sensing, 2020 Ocean surveillance is one of the important applications of synthetic aperture radar (SAR). Polarimetric SAR provides multi-channel information and shows great potential for monitoring ocean dynamic environments.
Junjun Yin +3 more
doaj +1 more source
Dictionary Learning-Cooperated Matrix Decomposition for Hyperspectral Target Detection
Remote Sensing, 2022 Hyperspectral target detection is one of the most challenging tasks in remote sensing due to limited spectral information. Many algorithms based on matrix decomposition (MD) are proposed to promote the separation of the background and targets, but they ...
Yuan Yao +5 more
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