论文 |
发表论文150余篇,代表性论文如下 1)Y. Zhang*, J. Wei, M. Duan, Y. Kang, Q. He, H. Wu, Z. Lu. Coherent pixel selection using a dual-channel 1-D CNN for time series InSAR analysis. International Journal of Applied Earth Observations and Geoinformation, 2022, https://doi.org/10.1016/j.jag.2022.102927. 2)Zhang, Y.*; Wu, H.; Li, M.,Kang, Y.; Lu, Z. Investigating Ground Subsidence and the Causes Over the Whole Jiangsu Province, China Using Sentinel-1 SAR Data. Remote Sensing, 2021, 13, 179. https://doi.org/10.3390/rs13020179. 3)Yonghong Zhang *, Hong’an Wu , Yonghui Kang and Chuanguang Zhu. Ground Subsidence in the Beijing-Tianjin-Hebei Region from 1992 to 2014 Revealed by Multiple SAR Stacks. Remote sensing, 2016, 8, 675-691. 4)Yonghong Zhang*, Hong’an Wu, Huiqin Wang, and Shanshan Jin. Distance Measure Based Change Detectors for Polarimetric SAR Imagery. Photogrammetric Engineering and Remote sensing, 2016, 82(9), 719–727. 5)Yonghong Zhang*, Jixian Zhang, Xianfeng Zhang, HonganWu, and Ming Guo. Land Cover Classification from Polarimetric SAR Data Based on Image Segmentation and Decision Trees. Canadian Journal of Remote Sensing, 2015, 41, 40–50. 6)Zhang Y.*, Zhang J., Wu H., Lu Z. and Sun G. Monitoring of urban subsidence with SAR interferometric point target analysis: A case study in Suzhou, China. International Journal of Applied Earth Observation and Geoinformation,2011, 13(1), 812–818. 7)Zhang Y., Zhang J., Lu Z. and Gong W. A new numerical method of calculating extrema of received power for polarimetric SAR. IEEE Geoscience and Remote Sensing Letters, 2009, 6(4), 666-670. 8)Zhang J. and Zhang Y.* Remote sensing research issues of the National Land Use Change Program of China. ISPRS Journal of Photogrammetry and Remote Sensing, 2007, 62, 461-472. 9)M.J. Wooster, Y.H. Zhang. Boreal forest fires burn less intensely in Russia than in North America. Geophysical Research Letters, 2004, 31(20), L20505. DOI: 10.1029/2004GL020805. 10)Y.H. Zhang, M.J. Wooster, O. Tutubalina, and G. Perry. Monthly burned area and forest fire carbon emission estimates for the Russian Federation from SPOT VGT. Remote Sensing of Environment, 2003, 87(1), 1-15. |
专利 |
(1)专利名称:基于合成孔径雷达的地物目标接收功率生成方法及系统 张永红、余海坤,专利号:ZL 200910078312.3,授权日:2012-05-23 (2)专利名称:一种基于全极化合成孔径雷达的地物目标分类方法和装置 张永红、张继贤、王梁文敬、宁晓刚,专利号:ZL 200910078313.8,授权日:2011-10-12 (3)专利名称:基于多项式反演模型的时间序列InSAR形变监测方法及装置 张永红、吴宏安、张继贤、燕琴,专利号:ZL 201210073117.3,授权日:2014-04-16 (4) 专利名称:一种对数字高程模型数据高程校准方法及装置 吴宏安、张永红、金姗姗、段敏燕,申请号:ZL201210332550.4,授权日:2014-08-27 (5) 专利名称:一种提取地面人工建/构筑物高度的方法及装置 张永红、祝传广、吴宏安、刘晓龙,专利号:ZL201310243103.6,授权日:2015-07-29 (6)专利名称:一种面向时间序列InSAR的不连续子网多层级快速连接方法 吴宏安、张永红,专利号:ZL 201410410540.7;授权日:2017-12-28, (7)专利名称:大区域InSAR形变结果的自动化平差及镶嵌方法及装置 张永红、吴宏安、康永辉,专利号:ZL201610154331.X,授权日, 2018-01-12 (8)专利名称:时间序列InSAR最佳干涉像对选择的方法及装置 张永红、吴宏安、康永辉,专利号:ZL201810417761.5,授权日, 2021-01-12 (9)专利名称:一种基于深度学习的大范围地面沉降时空预测方法和系统 刘青豪,张永红,魏炬杰,专利号:ZL202110134060.2 (10)专利名称:一种全散射体FS-InSAR方法及系统 吴宏安,张永红,康永辉,魏炬杰;ZL202210489978.3;授权日:2022-07-26 |