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Towards Operational Satellite-Based Damage-Mapping Using U-Net Convolutional Network: A Case Study of 2011 Tohoku Earthquake-Tsunami.

, , and . Remote Sensing, 10 (10): 1626 (2018)

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Coal-bed Methane reservoir identification using the natural source Super-Low Frequency remote sensing., , , , and . IGARSS, page 4022-4025. IEEE, (2013)A Framework of Rapid Regional Tsunami Damage Recognition From Post-event TerraSAR-X Imagery Using Deep Neural Networks., , , , , , and . IEEE Geosci. Remote. Sens. Lett., 15 (1): 43-47 (2018)The quantitative prediction of Coalbed Methane gas content based on super-low frequency electromagnetic technology., , , , , and . IGARSS, page 819-822. IEEE, (2013)Façade reconstruction from oblique areal images., , , , , , and . IGARSS, page 1895-1898. IEEE, (2014)A method on Coalbed Methane gas content monitoring based on super-low frequency electromagnetic technology., , , , , and . IGARSS, page 3911-3914. IEEE, (2013)Integrating remote sensing and Super-Low Frequency electromagnetic technology in exploration of buried faults., , , , , and . IGARSS, page 811-814. IEEE, (2013)Hyperspectral remote sensing for coal-bed methane exploration., , , , , and . IGARSS, page 262-265. IEEE, (2014)Passive super-low frequency remote sensing technique for monitoring coal-bed methane reservoirs., , , , , , and . IGARSS, page 567-569. IEEE, (2014)Towards Operational Satellite-Based Damage-Mapping Using U-Net Convolutional Network: A Case Study of 2011 Tohoku Earthquake-Tsunami., , and . Remote Sensing, 10 (10): 1626 (2018)