Polarimetric synthetic aperture radar image segmentation by convolutional neural network using graphical processing units-Reference-Cited by-同舟云学术

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Polarimetric synthetic aperture radar image segmentation by convolutional neural network using graphical processing units

Published:2017-09-09 Issue:3 Volume:15 Page:631-642
ISSN:1861-8200
Container-title:Journal of Real-Time Image Processing
language:en
Short-container-title:J Real-Time Image Proc

Author:

Wang Shui-Hua,Sun Junding,Phillips Preetha,Zhao Guihu,Zhang Yu-Dong

Funder

Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Project of Science and Technology of Henan Province

Publisher

Springer Science and Business Media LLC

Subject

Information Systems

Link

http://link.springer.com/article/10.1007/s11554-017-0717-0/fulltext.html

Reference36 articles.

1. Hosseini, M., McNairn, H.: Using multi-polarization C- and L-band synthetic aperture radar to estimate biomass and soil moisture of wheat fields. Int. J. Appl. Earth Obs. Geoinf. 58, 50–64 (2017)

2. Kim, S.B., van Zyl, J.J., Johnson, J.T., et al.: Surface soil moisture retrieval using the L-band synthetic aperture radar onboard the soil moisture active-passive satellite and evaluation at core validation sites. IEEE Trans. Geosci. Remote Sens. 55(4), 1897–1914 (2017)

3. Boyarsky, M., Sleasman, T., Pulido-Mancera, L., et al.: Synthetic aperture radar with dynamic metasurface antennas: a conceptual development. J. Opt. Soc. Am. Opt. Image Sci. Vis. 34(5), A22–A36 (2017)

4. Ravindra, V., Akbar, P.R., Zhang, M., et al.: A dual-polarization X-band traveling-wave antenna panel for small-satellite synthetic aperture radar. IEEE Trans. Antennas Propag. 65(5), 2144–2156 (2017)

5. Maitra, S., Gartley, M.G., Kerekes, J.P.: A low-cost laboratory-based polarimetric synthetic aperture radar system for scattering analysis. IEEE Antennas Propag. Mag. 59(2), 130–141 (2017)

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