WIMI Hologram Academy: Two New Techniques for Phase Disentanglement
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星期四, 九月 22, 2022
Cloud, Canet, Algorithm, MAP, MCF, Cluster analysis, Markov random field, PUMA, MRI, Extended Kalman filter, WIMI, Partnership, UIF, Deep learning, Multi, Technology, Map, Magnetic resonance imaging, MRF, Science, Kálmán, Method, NASDAQ, CKF, Research, GLOBE, Kalman filter, AI, National TB Elimination Program (India), EKF, Surveying, Interferometric synthetic-aperture radar
HONG KONG, Sept. 22, 2022 (GLOBE NEWSWIRE) -- WIMI Hologram Academy, working in partnership with the Holographic Science Innovation Center, has written a new technical article describing their research on Two New Techniques for Phase Disentanglement.
Key Points:
- HONG KONG, Sept. 22, 2022 (GLOBE NEWSWIRE) -- WIMI Hologram Academy, working in partnership with the Holographic Science Innovation Center, has written a new technical article describing their research on Two New Techniques for Phase Disentanglement.
- Scientists from WIMI Hologram Academy of WIMI Hologram Cloud Inc.(NASDAQ: WIMI) focus on the development of phase unwinding technologies used in InSAR, focusing on two of the most advanced phase unwinding technologies.
- Later, advanced single-baseline winding methods of minimum cost flow (MCF), statistical cost flow (SNAPHU), PUMA, and large-scale phase unwinding techniques appeared.
- They proposed three improved two-stage planning methods: multi-baseline Extended Kalman Filter (EKF) phase unwinding algorithm, multi-Cubage volume Kalman Filter (CKF) phase unwinding algorithm, and multi-baseline tasteless information filtering phase unwinding algorithm.