Zobrazeno 1 - 10
of 138
pro vyhledávání: '"low rank and sparse matrix decomposition"'
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1569 (2024)
In environments with a low signal-to-reverberation ratio (SRR) characterized by fluctuations in clutter number and distribution, particle filter-based tracking methods may experience significant fluctuations in the posterior probability of existence.
Externí odkaz:
https://doaj.org/article/442d3fff57594d389e4adb0a6fef4196
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 1775-1790 (2022)
Hyperspectral anomaly detection is an important technique in the field of remote sensing image processing. Over the last few years, low rank and sparse matrix decomposition (LRSMD) has played an increasingly significant role in hyperspectral anomaly
Externí odkaz:
https://doaj.org/article/d3875674ad5444c9b9211f4a32f59fa2
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6826-6842 (2022)
Hyperspectral anomaly detection methods based on representation model have drawn more attention due to their simplicity and efficiency. The traditional collaborative representation (CR) model does not consider the differences between features, result
Externí odkaz:
https://doaj.org/article/c1162b578d3047eaa73df2ade2b3ce79
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 4915-4932 (2021)
Orthogonal subspace projection (OSP) is a versatile hyperspectral imaging technique which has shown great potential in dimensionality reduction, target detection, spectral unmixing, etc. However, due to its inherent requirement of prior target knowle
Externí odkaz:
https://doaj.org/article/aeede8949c9148c68e4c23640f20983c
Publikováno v:
BioMedical Engineering OnLine, Vol 19, Iss 1, Pp 1-38 (2020)
Abstract Vessel diseases are often accompanied by abnormalities related to vascular shape and size. Therefore, a clear visualization of vasculature is of high clinical significance. Ultrasound color flow imaging (CFI) is one of the prominent techniqu
Externí odkaz:
https://doaj.org/article/bdaf265b44a14e1e953011ad9e252db6
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Deniz Kumlu, Isin Erer
Publikováno v:
IEEE Access, Vol 8, Pp 74145-74156 (2020)
The clutter severely decreases the target visibility, thus the detection rates in ground penetrating radar (GPR) systems. Recently proposed robust principal component analysis (RPCA) based clutter removal method decomposes the GPR image into its low
Externí odkaz:
https://doaj.org/article/2ee75e1f669d41029e0ff8565a940831
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 4881-4894 (2020)
Window-based operation is a general technique for hyperspectral anomaly detection. However, the problem remains that background knowledge containing abnormal information often affects the attributes of test pixels. In this article, a dual collaborati
Externí odkaz:
https://doaj.org/article/44a0a7a0d5d14798b9b6a00b95315ed8