Analysis and Accuracy Evaluation of Scattering Characteristics of GF-3 Full-Polarized SAR

Li Jiahui; Wang Xiaochen

doi:10.3788/CJL202047.0310002

[1] Zhang Q J. System design and key technologies of the GF-3 satellite[J]. Acta Geodaetica et Cartographica Sinica, 46, 269-277(2017).

[2] Ding C B, Liu J Y, Lei B et al. Preliminary exploration of systematic geolocation accuracy of GF-3 SAR satellite system[J]. Journal of Radars, 6, 11-16(2017).

[3] Fan J C, Wang D Y, Zhao J H et al. National sea area use dynamic monitoring based on GF-3 SAR imagery[J]. Journal of Radars, 6, 456-472(2017).

[4] Yi W, Zeng Y, Yuan Z. Fusion of GF-3 SAR and optical images based on the nonsubsampled contourlet transform[J]. Acta Optica Sinica, 38, 1110002(2018).

[5] Wan J H, Zang J X, Liu S W. Fusion and classification of SAR and optical image with consideration of polarization characteristics[J]. Acta Optica Sinica, 37, 0628001(2017).

[6] Buono A, Nunziata F, Migliaccio M et al. Classification of the Yellow River delta area using fully polarimetric SAR measurements[J]. International Journal of Remote Sensing, 38, 6714-6734(2017).

[7] Fang Y Y, Zhang H Y, Mao Q et al. Land cover classification with GF-3 polarimetric synthetic aperture radar data by random forest classifier and fast super-pixel segmentation[J]. Sensors, 18, 2014(2018).

[8] Zhang Q J, Lin Y D[J]. Overview of Chinese first C band multi-polarization SAR satellite GF-3 Aerospace China, 2017, 24-33.

[9] Liu X Y, Liu L, Shao Y et al. Water detection in urban areas from GF-3[J]. Sensors, 18, 1299(2018).

[10] Guo Y J, Chen E X, Guo Y et al. Deep highway unit network for land cover type classification with GF-3 SAR imagery. [C]∥2017 SAR in Big Data Era: Models, Methods and Applications (BIGSARDATA), November 13-14, 2017, Beijing, China. New York: IEEE, 17379655(2017).

[11] Wang X C, Shao Y, Tian W et al. Evaluation of GF-3 quad-polarized SAR imagery for coastal wetland observation. [C]∥2018 IEEE International Geoscience and Remote Sensing Symposium, July 22-27, 2018, Valencia, Spain. New York: IEEE, 7945-7948(2018).

[12] Cloude S R, Pottier E. A review of target decomposition theorems in radar polarimetry[J]. IEEE Transactions on Geoscience and Remote Sensing, 34, 498-518(1996).

[13] Cloude S R, Pottier E. An entropy based classification scheme for land applications of polarimetric SAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 35, 68-78(1997).

[14] Lee J S, Grunes M R, Ainsworth T L et al. Unsupervised classification using polarimetric decomposition and the complex Wishart classifier[J]. IEEE Transactions on Geoscience and Remote Sensing, 37, 2249-2258(1999).

[15] Lee J S, Grunes M R, Kwok R. Classification of multi-look polarimetric SAR imagery based on complex Wishart distribution[J]. International Journal of Remote Sensing, 15, 2299-2311(1994).

[16] Yamaguchi Y, Moriyama T, Ishido M et al. Four-component scattering model for polarimetric SAR image decomposition[J]. IEEE Transactions on Geoscience and Remote Sensing, 43, 1699-1706(2005).

[17] Touzi R. Speckle effect on polarimetric target scattering decomposition of SAR imagery[J]. Canadian Journal of Remote Sensing, 33, 60-68(2007).

[18] Xie X F, Xu X, Dong H et al. A semi-supervised dimension reduction method for polarimetric SAR image classification[J]. Acta Optica Sinica, 38, 0428001(2018).