Open AccessAdaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR
Author(s) -
Oyama K.,
Hirose A.
Publication year - 2018
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2017.2680
Subject(s) - synthetic aperture radar , artificial neural network , filter (signal processing) , computer science , adaptive filter , interferometry , artificial intelligence , singular spectrum analysis , phase (matter) , frequency domain , radar , algorithm , computer vision , optics , physics , telecommunications , singular value decomposition , quantum mechanics
A singular‐unit restoration filter based on complex‐valued neural networks that deal with spatial spectrum in interferometric synthetic aperture radar is proposed. This filter utilises more neural generalisation ability than conventional methods. In experiments, it shows a higher accuracy as well as shorter processing time than conventional real‐space filters and shorter learning time than previous spectral‐domain learning filters.