Zobrazeno 1 - 10
of 60
pro vyhledávání: '"polarimetric SAR image"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5317-5331 (2024)
Semantic segmentation is an essential task in polarimetric synthetic aperture radar (PolSAR) image interpretation. To address the issue of insufficient measurement ability of single-view similarity, an unsupervised semantic segmentation method for Po
Externí odkaz:
https://doaj.org/article/245fde4e4b3b4c07a5792016ba7f9899
Akademický článek
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Publikováno v:
IEEE Access, Vol 7, Pp 175259-175276 (2019)
This paper presents a Synthetic Aperture Radar (SAR) image classification algorithm based on multi-feature using Fruit Fly Optimization Algorithm (FOA) and Least Square Support Vector Machine (LS-SVM). First, pixel-based information derived from thre
Externí odkaz:
https://doaj.org/article/6174aab3b64340b9b6283a7aaa8914a4
Publikováno v:
The Journal of Engineering (2019)
Polarimetric SAR (PolSAR) data can be characterised by scattering matrix, which contains four elements. It is difficult to merge all the elements of the scattering matrix for segmentation. On the other hand, a PolSAR image contains objects of various
Externí odkaz:
https://doaj.org/article/d422734715d84904b2beccd384717518
Autor:
Liu Lu, Feng Guobao
Publikováno v:
MATEC Web of Conferences, Vol 336, p 08012 (2021)
In this paper, a new architecture of three-dimensional deep convolutional generative adversarial network(3D-DCGAN) is specially defined to solve the unstable training problem of GAN and make full use of the information involved in polarimetric data.
Externí odkaz:
https://doaj.org/article/1db85761232b47ac85f2adc975715bf8
Publikováno v:
Sensors, Vol 8, Iss 11, Pp 7380-7409 (2008)
A new electromagnetic approach for the simulation of polarimetric SAR images is proposed. It starts from Maxwell’s equations, employs the spectral domain full-wave technique, the moment method, and the stationary phase method to compute
Externí odkaz:
https://doaj.org/article/d707061fe0274def8cb3c15e1c6e6507
Publikováno v:
IEEE Access, Vol 7, Pp 175259-175276 (2019)
This paper presents a Synthetic Aperture Radar (SAR) image classification algorithm based on multi-feature using Fruit Fly Optimization Algorithm (FOA) and Least Square Support Vector Machine (LS-SVM). First, pixel-based information derived from thre
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 55:80-95
The availability of multiple images of the same scene acquired with the same radar but with different polarizations, both in transmission and reception, has the potential to enhance the classification, detection, and/or recognition capabilities of a
Autor:
Luca Pallotta, Danilo Orlando
This letter proposes a novel technique for automatic classification of the dominant scattering mechanisms associated with the pixels of polarimetric SAR images. Focusing on the heterogeneous scenario wherein the polarimetric image pixels share the sa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91cae6b0fc8896828330bbd8fe1be4ac
https://hdl.handle.net/11590/356228
https://hdl.handle.net/11590/356228
Akademický článek
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