Laser & Optoelectronics Progress, Volume. 56, Issue 10, 101008(2019)
Detection of Sea-Ice Drift Based on Different Polarization Data
[2] Komarov A, Barber D. Detection of sea ice motion from co- and cross-polarization RADARSAT-2 images. [C]∥2012 IEEE International Geoscience and Remote Sensing Symposium, July 22-27, 2012, Munich, Germany, 3277-3280(2012).
[4] Korosov A A, Rampal P. A combination of feature tracking and pattern matching with optimal parametrization for sea ice drift retrieval from SAR data[J]. Remote Sensing, 9, 258(2017).
[5] Men P. Study on sea ice drift tracking based on SAR images of large difference in resolution[D]. Dalian: Dalian Maritime University(2017).
[6] Xiao H Y, Tian C Z, Yue C R. Analysis on backscattering characteristics of the pinus yunnanensis based on full-polarization SAR data[J]. Journal of Fujian Forestry Science and Technology, 42, 85-87, 93(2015).
[7] Liu H Y. Study on parameter retrieval and type recognition of sea ice using wide-swath and multi-polarization SAR data[D]. Beijing: University of Chinese Academy of Sciences(Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences)(2017).
[11] Wu Q. Sea ice drift tracking in the Bohai Sea based on GOCI[D]. Hefei: Hefei University of Technology(2014).
[12] Lowe D G. Object recognition from local scale-invariant features. [C]∥Proceedings of the Seventh IEEE International Conference on Computer Vision, September 20-27, 1999, Kerkyra, Greece, 1150-1157(1999).
Get Citation
Copy Citation Text
Ming Zhang, Junkai Wang, Xiaoqi Lü, Xi Zhang, Jing Li, Genwang Liu, Ting Zhang. Detection of Sea-Ice Drift Based on Different Polarization Data[J]. Laser & Optoelectronics Progress, 2019, 56(10): 101008
Category: Image Processing
Received: Oct. 10, 2018
Accepted: Dec. 25, 2018
Published Online: Jul. 4, 2019
The Author Email: Junkai Wang (wjk_53@126.com)