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ORCIDMichal Segal-Rosenhaimer
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- affiliation: NASA Ames Research Center, Moffett Field, CA, USA
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2020 – today
- 2023
[j4]Michal Segal-Rozenhaimer
, David Nukrai, Haochi Che, Robert Wood, Zhibo Zhang:
Cloud Mesoscale Cellular Classification and Diurnal Cycle Using a Convolutional Neural Network (CNN). Remote. Sens. 15(6): 1607 (2023)- 2022
- [j3]Ondrej Pesek, Michal Segal-Rozenhaimer, Arnon Karnieli:
Using Convolutional Neural Networks for Cloud Detection on VENμS Images over Multiple Land-Cover Types. Remote. Sens. 14(20): 5210 (2022) - 2020
- [j2]Alan S. Li, Ved Chirayath, Michal Segal-Rozenhaimer, Juan Torres-Perez, Jarrett van den Bergh:
NASA NeMO-Net's Convolutional Neural Network: Mapping Marine Habitats with Spectrally Heterogeneous Remote Sensing Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5115-5133 (2020) - [c1]Ved Chirayath, Alan S. Li, Juan Torres-Perez, Michal Segal-Rozenhaimer, Jarrett van den Bergh:
NASA NeMO-Net - A Neural Multimodal Observation & Training Network for Marine Ecosystem Mapping at Diverse Spatiotemporal Scales. IGARSS 2020: 3633-3636
2010 – 2019
- 2013
- [j1]Stephen E. Dunagan, Roy Johnson, Jhony R. Zavaleta, Philip B. Russell, Beat Schmid, Connor Flynn, Jens Redemann, Yohei Shinozuka, John Livingston, Michal Segal-Rosenhaimer:
Spectrometer for Sky-Scanning Sun-Tracking Atmospheric Research (4STAR): Instrument Technology. Remote. Sens. 5(8): 3872-3895 (2013)
Coauthor Index
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