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Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR
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| Zeitschriftentitel: | Electronics Letters |
|---|---|
| Personen und Körperschaften: | , |
| In: | Electronics Letters, 54, 2018, 1, S. 43-45 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Institution of Engineering and Technology (IET)
|
| Schlagwörter: |
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Oyama, K. Hirose, A. Oyama, K. Hirose, A. |
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Oyama, K. Hirose, A. |
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Oyama, K. Hirose, A. Electronics Letters Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR Electrical and Electronic Engineering |
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oyama, k. |
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Oyama, K. Hirose, A. 0013-5194 1350-911X Institution of Engineering and Technology (IET) Electrical and Electronic Engineering http://dx.doi.org/10.1049/el.2017.2680 Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR Electronics Letters |
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Institution of Engineering and Technology (IET), 2018 |
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Institution of Engineering and Technology (IET), 2018 |
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Electronics Letters |
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| title |
Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR |
| title_unstemmed |
Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR |
| title_full |
Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR |
| title_fullStr |
Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR |
| title_full_unstemmed |
Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR |
| title_short |
Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR |
| title_sort |
adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric sar |
| topic |
Electrical and Electronic Engineering |
| url |
http://dx.doi.org/10.1049/el.2017.2680 |
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2018 |
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43-45 |
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| imprint | Institution of Engineering and Technology (IET), 2018 |
| imprint_str_mv | Institution of Engineering and Technology (IET), 2018 |
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| physical | 43-45 |
| publishDate | 2018 |
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| series | Electronics Letters |
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| spelling | Oyama, K. Hirose, A. 0013-5194 1350-911X Institution of Engineering and Technology (IET) Electrical and Electronic Engineering http://dx.doi.org/10.1049/el.2017.2680 Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR Electronics Letters |
| spellingShingle | Oyama, K., Hirose, A., Electronics Letters, Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR, Electrical and Electronic Engineering |
| title | Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR |
| title_full | Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR |
| title_fullStr | Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR |
| title_full_unstemmed | Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR |
| title_short | Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR |
| title_sort | adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric sar |
| title_unstemmed | Adaptive phase‐singular‐unit restoration with entire‐spectrum‐processing complex‐valued neural networks in interferometric SAR |
| topic | Electrical and Electronic Engineering |
| url | http://dx.doi.org/10.1049/el.2017.2680 |