論文 |
發表論文150余篇,代表性論文如下 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. |
專利 |
(1)專利名稱:基于合成孔徑雷達的地物目標接收功率生成方法及系統 張永紅、余海坤,專利號:ZL 200910078312.3,授權日:2012-05-23 (2)專利名稱:一種基于全極化合成孔徑雷達的地物目標分類方法和裝置 張永紅、張繼賢、王梁文敬、寧曉剛,專利號:ZL 200910078313.8,授權日:2011-10-12 (3)專利名稱:基于多項式反演模型的時間序列InSAR形變監測方法及裝置 張永紅、吳宏安、張繼賢、燕琴,專利號:ZL 201210073117.3,授權日:2014-04-16 (4) 專利名稱:一種對數字高程模型數據高程校準方法及裝置 吳宏安、張永紅、金姍姍、段敏燕,申請號:ZL201210332550.4,授權日:2014-08-27 (5) 專利名稱:一種提取地面人工建/構筑物高度的方法及裝置 張永紅、祝傳廣、吳宏安、劉曉龍,專利號:ZL201310243103.6,授權日:2015-07-29 (6)專利名稱:一種面向時間序列InSAR的不連續子網多層級快速連接方法 吳宏安、張永紅,專利號:ZL 201410410540.7;授權日:2017-12-28, (7)專利名稱:大區域InSAR形變結果的自動化平差及鑲嵌方法及裝置 張永紅、吳宏安、康永輝,專利號:ZL201610154331.X,授權日, 2018-01-12 (8)專利名稱:時間序列InSAR最佳干涉像對選擇的方法及裝置 張永紅、吳宏安、康永輝,專利號:ZL201810417761.5,授權日, 2021-01-12 (9)專利名稱:一種基于深度學習的大范圍地面沉降時空預測方法和系統 劉青豪,張永紅,魏炬杰,專利號:ZL202110134060.2 (10)專利名稱:一種全散射體FS-InSAR方法及系統 吳宏安,張永紅,康永輝,魏炬杰;ZL202210489978.3;授權日:2022-07-26 |