Results 101 to 110 of about 1,703,074 (177)

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.
Frery, A. C., Dimitrov, V. S., Coelho, D. F.G., Cintra, R. J.   +3 more
core   +1 more source

A Deep Learning Classification Scheme for PolSAR Image Based on Polarimetric Features

Remote Sensing
Polarimetric features extracted from polarimetric synthetic aperture radar (PolSAR) images contain abundant back-scattering information about objects.
Shuaiying Zhang, Lizhen Cui, Zhen Dong, Wentao An   +3 more
doaj   +1 more source

A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification. [PDF]

Sensors (Basel), 2023
Sadeghi F, Larijani A, Rostami O, Martín D, Hajirahimi P.   +4 more
europepmc   +1 more source

Two-step discriminant analysis based multi-view polarimetric SAR image classification with high confidence. [PDF]

Sci Rep, 2022
Imani M.
europepmc   +1 more source

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 ...
Jagdhuber, Thomas, Hajnsek, Irena, Parrella, Giuseppe, Al-Kahachi, Noora, Papathanassiou, Kostantinos   +4 more
core  

AIR-POLSAR-CR1.0: A Benchmark Dataset for Cloud Removal in High-Resolution Optical Remote Sensing Images with Fully Polarized SAR

Remote Sensing
Due to the all-time and all-weather characteristics of synthetic aperture radar (SAR) data, they have become an important input for optical image restoration, and various cloud removal datasets based on SAR-optical have been proposed.
Yuxi Wang, Wenjuan Zhang, Jie Pan, Wen Jiang, Fangyan Yuan, Bo Zhang, Xijuan Yue, Bing Zhang   +7 more
doaj   +1 more source

Synthetic aperture sonar imaging using compressive sensing and an ultrasound transducer array [PDF]

, 2013
Includes bibliographical references.Compressive sensing (CS) also known as compressive sampling is a technique used to reconstruct or recover the full-length of a signal with only a few non-adaptive measurements.
Jideani, Josiah Chimnanu
core   +1 more source

Semantic segmentation of PolSAR image data using advanced deep learning model. [PDF]

Sci Rep, 2021
Garg R, Kumar A, Bansal N, Prateek M, Kumar S.   +4 more
europepmc   +1 more source

Identifying Successive Eruption of Guntur Volcanic Complex Using Magnetic Susceptibility and Polarimetric Synthetic Aperture Radar (PolSAR) Data

IOP Conference Series: Earth and Environmental Science, 2017
Asep Saepuloh, Erwin Bakker
openaire   +1 more source

Cameron Decomposition Applied to Polarimetric Synthetic Aperture Radar Signature Detection [PDF]

, 2015
Cameron et al, have developed a method of decomposing scatterer scattering matrices based on Huynen’s scattering matrix decomposition parameters. Huynen’s decomposition parameters are not unique, in that certain transformation properties, such as the ...
Wininger, Sean
core   +1 more source