发表SCI/EI/CSCD等检索文章

2021-2025年

• [91] Yuan, Y., Yang, J., Shi, L., and Zhao, L.: SAM–Attention Synergistic Enhancement: SAR Image Object Detection Method Based on Visual Large Model, Remote Sensing, 17, 3311, 2025.
• [90] J. Qian, J. Yang, W. Sun, L. Zhao, L. Shi, H. Shi, L. Liao, C. Dang, and Q. Dou, “Evaluation and improvement of spatiotemporal estimation and transferability of multi-layer and profile soil moisture in the Qinghai Lake and Heihe River basins using multi-strategy constraints,” Geoderma, vol. 455, Art. no. 117222, Mar., 2025.
• [89] Z. Wang, L. Zhao, N. Jiang, W. Sun, J. Yang, L. Shi, H. Shi, and P. Li, “DMCF-net: dilated multiscale context fusion network for SAR flood detection,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 18, pp. 16549–16561, 2025.
• [88] J. Qian, J. Yang, W. Sun, L. Zhao, L. Shi, H. Shi, L. Liao, C. Dang, and Q. Dou, “Soil organic carbon estimation and transfer framework in agricultural areas based on spatiotemporal constraint strategy combined with active and passive remote sensing,” Remote Sens., vol. 17, no. 2, Art. no. 333, Jan. 2025.
• [87] J. Qian, J. Yang, W. Sun, L. Zhao, L. Shi, H. Shi, C. Dang, and Q. Dou, “Multi-layer and profile soil moisture estimation and uncertainty evaluation based on multi-frequency (Ka-, X-, C-, S-, and L-band) and quad-polarization airborne SAR data from synchronous observation experiment in Liao River Basin, China,” Water, vol. 17, no. 14, Art. no. 2096, Jul. 2025.
• [86] 史磊, 孙维东, 杨乐, 杨杰, 赵伶俐, 李平湘, 刘亚波. LT-1A卫星全极化SAR辐射与极化系统误差稳定性分析：以热带雨林场景为例, 雷达学报, vol. 14, no. 2, 2025.
• [85] J. Qian, J. Yang, W. Sun, L. Zhao, L. Shi, and C. Dang, “Evaluation and improvement of temporal robustness and transfer performance of surface soil moisture estimated by machine learning regression algorithms,” Comput. Electron. Agric., vol. 217, Art. no. 108518, Feb. 2024.
• [84] J. Qian, J. Yang, W. Sun, L. Zhao, L. Shi, H. Shi, C. Dang, and Q. Dou, “Application potential and spatiotemporal uncertainty assessment of multi-layer soil moisture estimation in different climate zones using multi-source data,” J. Hydrol., vol. 645, Art. no. 132229, Dec. 2024.
• [83] L. Shi, W. Sun, J. Yang, and L. Zhang, “Polarimetric calibration of linear dual-pol SAR when corner reflectors are unavailable,” ISPRS J. Photogramm. Remote Sens., vol. 214, pp. 209–230, Aug. 2024.
• [82] 徐妍, 孙维东, 赵伶俐, 黄蕾, 潘飞, 焦冉. 利用无锚框型深度网络的SAR船舶检测, 测绘科学, vol. 49, no. 8, 2024.
• [81] 徐妍, 周杰, 赵伶俐, 孙维东. SAR影像与对抗学习融合下的可见光影像云雾去除, 测绘科学, vol. 49, no. 4, 2024.
• [80] L. Yang, L. Shi, W. Sun, J. Yang, P. Li, D. Li, S. Liu, and L. Zhao, “Radiometric and polarimetric quality validation of Gaofen-3 over a five-year operation period,” Remote Sens., vol. 15, no. 6, 2023.
• [79] L. Zhao, S. Wang, Y. Xu, W. Sun, L. Shi, J. Yang, and J. Dash, “Evaluating the capability of Sentinel-1 data in the classification of canola and wheat at different growth stages and in different years,” Remote Sens., vol. 15, no. 11, p. 2731, May 2023.
• [78] L. Shi, L. Yang, W. Sun, J. Yang, P. Li, and L. Zhang, “Amplitude-optimized UZH for polarimetric channel imbalance calibration in PolSAR data,” IEEE Trans. Geosci. Remote Sens., vol. 61, no. 1, pp. 1–23, 2023.
• [77] X. Qin, L. Zhao, J. Yang, P. Li, B. Wu, K. Sun, and Y. Xu, “Active pairwise constraint learning in constrained time-series clustering for crop mapping from airborne SAR imagery,” Remote Sens., vol. 14, no. 23, p. 6073, Nov. 2022.
• [76] 赵伶俐, 杨杰, 李平湘, 潘斌. 面向地理国情专业的微波遥感教学与实习设计, 测绘地理信息, vol. 47, no. S1, 2022.
• [75] 史磊, 孙维东, 李平湘, 杨杰, 杨乐, 刘亚波. 不依赖角反射器的双极化影像定标研究, 第八届高分辨率对地观测学术年会论文集, 2022.
• [74] 覃星力, 杨杰, 李平湘, 赵伶俐, 孙开敏. 迁移学习用于多时相极化SAR影像的水体提取, 武汉大学学报(信息科学版), vol. 47, no. 7, 2022.
• [73] H. Shi, J. M. Lopez-Sanchez, J. Yang, P. Li, L. Zhao, and J. Zhao, “Contribution of polarimetry and multi-incidence to soil moisture estimation over agricultural fields based on time series of L-band SAR data,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 14, pp. 300–313, 2021.
• [72] L. Shi, L. Yang, L. Zhao, P. Li, J. Yang, and L. Zhang, “NESZ estimation and calibration for Gaofen-3 polarimetric products by the minimum noise envelope estimator,” IEEE Trans. Geosci. Remote Sens., vol. 59, no. 9, pp. 7517–7534, Sep. 2021.
• [71] L. Yang, L. Shi, J. Yang, P. Li, L. Zhao, and J. Zhao, “PolSAR additive noise estimation based on shadow regions,” Int. J. Remote Sens., vol. 42, no. 1, pp. 259–273, Jan. 2021.
• [70] X. Geng, L. Shi, J. Yang, P. Li, L. Zhao, W. Sun, and J. Zhao, “Ship detection and feature visualization analysis based on lightweight CNN in VH and VV polarization images,” Remote Sens., vol. 13, no. 6, p. 1184, Mar. 2021.
• [69] X. Geng, L. Zhao, L. Shi, J. Yang, P. Li, and W. Sun, “Small-sized ship detection nearshore based on lightweight active learning model with a small number of labeled data for SAR imagery,” Remote Sens., vol. 13, no. 17, p. 3400, Aug. 2021.
• [68] H. Shi, L. Zhao, J. Yang, J. M. Lopez-Sanchez, J. Zhao, W. Sun, L. Shi, and P. Li, “Soil moisture retrieval over agricultural fields from L-band multi-incidence and multitemporal PolSAR observations using polarimetric decomposition techniques,” Remote Sens. Environ., vol. 261, Art. no. 112485, Aug. 2021.
• [67] 史磊, 杨杰, 李平湘, 杨乐, 赵伶俐. 不依赖人工定标器的全极化SAR定标研究进展, 遥感学报, vol. 25, no. 11, 2021.

2016-2020年

• [66] L. Shi, P. Li, J. Yang, L. Zhang, X. Ding, and L. Zhao, “Polarimetric SAR calibration and residual error estimation when corner reflectors are unavailable,” IEEE Trans. Geosci. Remote Sens., vol. 58, no. 6, pp. 4454–4471, Jun. 2020.
• [65] L. Shi, P. Li, J. Yang, H. Sun, L. Zhao, and L. Zhang, “Polarimetric calibration for the distributed Gaofen-3 product by an improved unitary zero helix framework,” ISPRS J. Photogramm. Remote Sens., vol. 160, pp. 229–243, Feb. 2020.
• [64] W. Sun, P. Li, B. Du, J. Yang, L. Tian, M. Li, and L. Zhao, “Scatter matrix based domain adaptation for bi-temporal polarimetric SAR images,” Remote Sens., vol. 12, no. 4, p. 658, Feb. 2020.
• [63] L. Shi, P. Li, J. Yang, L. Zhang, X. Ding, and L. Zhao, “Polarimetric channel misregistration evaluation for the Gaofen-3 QPSI mode,” IEEE Geosci. Remote Sens. Lett., vol. 16, no. 4, pp. 544–548, Apr. 2019.
• [62] Y. Ren, J. Yang, L. Zhao, P. Li, Z. Liu, and L. Shi, “A global weighted least-squares optimization framework for speckle filtering of PolSAR imagery,” IEEE Trans. Geosci. Remote Sens., vol. 57, no. 3, pp. 1265–1277, Mar. 2019.
• [61] Y. Ren, J. Yang, L. Zhao, P. Li, and L. Shi, “SIRV-based high-resolution PolSAR image speckle suppression via dual-domain filtering,” IEEE Trans. Geosci. Remote Sens., vol. 57, no. 8, pp. 5923–5938, Aug. 2019.
• [60] L. Shi, P. Li, J. Yang, L. Zhang, X. Ding, and L. Zhao, “Co-polarization channel imbalance phase estimation by corner-reflector-like targets,” ISPRS J. Photogramm. Remote Sens., vol. 147, pp. 255–266, Jan. 2019.
• [59] H. Shi, J. Yang, P. Li, L. Zhao, Z. Liu, J. Zhao, and W. Liu, “Soil moisture estimation using two-component decomposition and a hybrid X-bragg/Fresnel scattering model,” J. Hydrol., vol. 574, pp. 646–659, 2019.
• [58] X. Qin, J. Yang, P. Li, W. Sun, and W. Liu, “A novel relational-based transductive transfer learning method for PolSAR images via time-series clustering,” Remote Sens., vol. 11, no. 11, p. 1358, Jun. 2019.
• [57] 李平湘, 刘致曲, 杨杰, 孙维东, 黎旻懿, 任烨仙. 利用随机森林回归进行极化SAR土壤水分反演, 武汉大学学报(信息科学版), vol. 44, no. 3, 2019.
• [56] H. Yi, J. Yang, P. Li, L. Shi, W. Sun, J. Zhao, and J. Liu, “A PolSAR image speckle filtering method preserving point targets and dominant scattering mechanisms,” Int. J. Remote Sens., vol. 39, no. 19, pp. 6061–6075, Oct. 2018.
• [55] W. Liu, J. Yang, P. Li, Y. Han, J. Zhao, and H. Shi, “A novel object-based supervised classification method with active learning and random forest for PolSAR imagery,” Remote Sens., vol. 10, no. 7, p. 1092, Jul. 2018.
• [54] F. Lang, J. Yang, S. Yan, and F. Qin, “Superpixel segmentation of polarimetric synthetic aperture radar (SAR) images based on generalized mean shift,” Remote Sens., vol. 10, no. 10, p. 1592, Oct. 2018.
• [53] W. Liu, J. Yang, J. Zhao, H. Shi, and L. Yang, “An unsupervised change detection method using time-series of PolSAR images from Radarsat-2 and Gaofen-3,” Sensors, vol. 18, no. 2, p. 559, Feb. 2018.
• [52] Y. Chang, P. Li, J. Yang, J. Zhao, L. Zhao, and L. Shi, “Polarimetric calibration and quality assessment of the GF-3 satellite images,” Sensors, vol. 18, no. 2, p. 403, Jan. 2018.
• [51] H. Yi, J. Yang, P. Li, L. Shi, and F. Lang, “A PolSAR image segmentation algorithm based on scattering characteristics and the revised Wishart distance,” Sensors, vol. 18, no. 7, p. 2262, Jul. 2018.
• [50] 杨杰, 常永雷, 李平湘, 赵伶俐, 史磊. 采用螺旋散射的SAR极化定标参考地物提取方法, 武汉大学学报(信息科学版), vol. 43, no. 12, 2018.
• [49] W. Sun, P. Li, J. Yang, L. Zhao, and M. Li, “Polarimetric SAR image classification using a Wishart test statistic and a Wishart dissimilarity measure,” IEEE Geosci. Remote Sens. Lett., vol. 14, no. 11, pp. 2022–2026, Nov. 2017.
• [48] L. Zhao, J. Yang, P. Li, X. Huang, L. Shi, and L. Zhang, “Characterization of the coherent scattering induced by ridging patterns in agriculture by the use of polarimetric SAR imagery,” Int. J. Remote Sens., vol. 38, no. 12, pp. 3502–3518, Jun. 2017.
• [47] J. Zhao, J. Yang, Z. Lu, P. Li, W. Liu, and L. Yang, “A novel method of change detection in bi-temporal PolSAR data using a joint-classification classifier based on a similarity measure,” Remote Sens., vol. 9, no. 8, p. 846, Aug. 2017.
• [46] W. Liu, J. Yang, J. Zhao, and L. Yang, “A novel method of unsupervised change detection using multi-temporal PolSAR images,” Remote Sens., vol. 9, no. 11, p. 1135, Nov. 2017.
• [45] Z. Liu, P. Li, and J. Yang, “Soil moisture retrieval and spatiotemporal pattern analysis using Sentinel-1 data of Dahra, Senegal,” Remote Sens., vol. 9, no. 11, p. 1197, Nov. 2017.
• [44] L. Zhao, J. Yang, P. Li, L. Shi, and L. Zhang, “Characterizing lodging damage in wheat and canola using Radarsat-2 polarimetric SAR data,” Remote Sens. Lett., vol. 8, no. 7, pp. 667–675, Jul. 2017.
• [43] J. Zhao, J. Yang, Z. Lu, P. Li, W. Liu, and L. Yang, “An unsupervised method of change detection in multi-temporal PolSAR data using a test statistic and an improved K&I algorithm,” Appl. Sci., vol. 7, no. 12, p. 1297, Dec. 2017.
• [42] 赵金奇, 杨杰, 李平湘, 邓少平, 李小娟, 路嘉铭. 改进剖面匹配和EKF对SAR影像道路半自动提取, 武汉大学学报(信息科学版), vol. 42, no. 8, 2017.
• [41] 李平湘, 赵伶俐, 任烨仙. 合成孔径雷达在农业监测中的应用和展望, 地理空间信息, vol. 15, no. 3, 2017.
• [40] 常永雷, 杨杰, 李平湘, 赵伶俐, 余洁. 基于CFAR的高分PolSAR影像桥梁自动识别方法, 武汉大学学报(信息科学版), vol. 42, no. 6, 2017.
• [39] W. Sun, L. Shi, J. Yang, and P. Li, “Building collapse assessment in urban areas using texture information from postevent SAR data,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 9, no. 8, pp. 3792–3808, Aug. 2016.
• [38] 李平湘, 马晓双, 沈焕锋. 基于局部同质区最大化搜索的极化SAR影像最小均方误差滤波方法, 测绘地理信息, vol. 41, no. 3, 2016.

2011-2015年

• [37] X. Ma, H. Shen, L. Zhang, J. Yang, and H. Zhang, “Adaptive anisotropic diffusion method for polarimetric SAR speckle filtering,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 8, no. 3, pp. 1041–1050, Mar. 2015.
• [36] L. Liao, J. Yang, P. Li, and F. Hua, “Polarimetric calibration of CASMSAR P-band data affected by terrain slopes using a dual-band data fusion technique,” Remote Sens., vol. 7, no. 4, pp. 4784–4803, Apr. 2015.
• [35] F. Lang, J. Yang, and D. Li, “Adaptive-window polarimetric SAR image speckle filtering based on a homogeneity measurement,” IEEE Trans. Geosci. Remote Sens., vol. 53, no. 10, pp. 5435–5446, Oct. 2015.
• [34] 黎旻懿, 杨杰, 李平湘, 郭琳. 尺度不变特征转换算法的多源SAR影像匹配, 遥感信息, vol. 30, no. 6, 2015.
• [33] 廖露, 李平湘, 杨杰, 常虹. 一种基于分布式目标互易性判断的SAR极化定标改进方法, 武汉大学学报(信息科学版), vol. 40, no. 8, 2015.
• [32] 邓少平, 张继贤, 李平湘, 冷海芹. 霍夫域极化相干性的雷达影像电力线检测, 测绘科学, vol. 40, no. 2, 2015.
• [31] F. Lang, J. Yang, D. Li, L. Zhao, and L. Shi, “Polarimetric SAR image segmentation using statistical region merging,” IEEE Geosci. Remote Sens. Lett., vol. 11, no. 2, pp. 509–513, Feb. 2014.
• [30] J. Wei, P. Li, J. Yang, J. Zhang, and F. Lang, “A new automatic ship detection method using L-band polarimetric SAR imagery,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 7, no. 4, pp. 1383–1393, Apr. 2014.
• [29] L. Zhao, J. Yang, P. Li, and L. Zhang, “Characteristics analysis and classification of crop harvest patterns by exploiting high-frequency multi-polarization SAR data,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 7, no. 9, pp. 3773–3783, Sep. 2014.
• [28] X. Ma, H. Shen, J. Yang, L. Zhang, and P. Li, “Polarimetric-spatial classification of SAR images based on the fusion of multiple classifiers,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 7, no. 3, pp. 961–971, Mar. 2014.
• [27] F. Lang, J. Yang, D. Li, Lei Shi, and J. Wei, “Mean-shift-based speckle filtering of polarimetric SAR data,” IEEE Trans. Geosci. Remote Sens., vol. 52, no. 7, pp. 4440–4454, Jul. 2014.
• [26] L. Shi, J. Yang, and P. Li, “Co-polarization channel imbalance determination by the use of bare soil,” ISPRS J. Photogramm. Remote Sens., vol. 95, pp. 53–67, Sep. 2014.
• [25] L. Zhao, J. Yang, P. Li, and L. Zhang, “Seasonal inundation monitoring and vegetation pattern mapping of the Erguna floodplain by means of a Radarsat-2 fully polarimetric time series,” Remote Sens. Environ., vol. 152, pp. 426–440, Sep. 2014.
• [24] L. Shi, L. Zhang, J. Yang, L. Zhang, and P. Li, “Supervised graph embedding for polarimetric SAR image classification,” IEEE Geosci. Remote Sens. Lett., vol. 10, no. 2, pp. 216–220, Mar. 2013.
• [23] L. Shi, L. Zhang, L. Zhao, J. Yang, P. Li, and L. Zhang, “The potential of linear discriminative Laplacian eigenmaps dimensionality reduction in polarimetric SAR classification for agricultural areas,” ISPRS J. Photogramm. Remote Sens., vol. 86, pp. 124–135, Dec. 2013.
• [22] L. Zhao, J. Yang, P. Li, L. Zhang, L. Shi, and F. Lang, “Damage assessment in urban areas using post-earthquake airborne PolSAR imagery,” Int. J. Remote Sens., vol. 34, no. 24, pp. 8952–8966, Dec. 2013.
• [21] 郎丰铠, 杨杰, 李德仁. 极化SAR图像自适应增强Lee滤波算法, 测绘学报, vol. 43, no. 7, 2013.
• [20] 魏钜杰, 李平湘, 杨杰, 张继贤. 利用全极化SAR数据去方位向模糊的舰船目标检测方法, 测绘学报, vol. 42, no. 4, 2013.
• [19] 赵伶俐, 杨杰, 李平湘, 郎丰铠, 史磊. 极化SAR影像弱散射地物统计分类, 遥感学报, vol. 17, no. 2, 2013.
• [18] L. Shi, P. Li, J. Yang, and L. Zhang, “A statistical polarimetric decomposition solution based on the maximum-likelihood estimator,” IEEE Geosci. Remote Sens. Lett., vol. 9, no. 5, pp. 861–865, Sep. 2012.
• [17] 史磊, 李平湘, 杨杰, 赵伶俐. 机载极化SAR地物类型逐步精细分类研究, 遥感学报, vol. 16, no. 6, 2012.
• [16] 郎丰铠, 杨杰, 赵伶俐, 张兢, 李德仁. 基于Freeman散射熵和各向异性度的极化SAR影像分类算法研究, 测绘学报, vol. 41, no. 4, 2012.
• [15] 杨杰, 赵伶俐, 史磊, 郎丰铠, 李平湘. 基于最优极化相干系数的倾斜建筑物解译研究, 测绘学报, vol. 41, no. 4, 2012.
• [14] 杨杰, 赵伶俐, 李平湘, 郎丰铠. 引入规范化圆极化相关系数的保持极化散射特性的分类算法, 武汉大学学报(信息科学版), vol. 37, no. 8, 2012.
• [13] 李平湘, 邓少平, 张继贤, 杨杰. 利用自适应最优极化对比增强检测SAR影像边缘, 武汉大学学报(信息科学版), vol. 37, no. 7, 2012.
• [12] 邓少平, 张继贤, 李平湘, 黄国满. 改进极化白化滤波的边缘检测, 中国图象图形学报, vol. 17, no. 5, 2012.
• [11] 史磊, 李平湘, 杨杰. 混合三角网极化干涉SAR影像配准, 武汉大学学报(信息科学版), vol. 37, no. 3, 2012.
• [10] 杨杰, 史磊, 李平湘. 基于极化相干最优与极化总功率的Wishart-H/Alpha分类, 武汉大学学报(信息科学版), vol. 37, no. 1, 2012.
• [9] 史磊, 李平湘, 杨杰. 极化方位角对Yamaguchi参数分解的影响, 中国图象图形学报, vol. 16, no. 11, 2011.
• [8] 邓少平, 李平湘, 张继贤, 黄国满. 基于乘积模型的极化SAR滤波, 武汉大学学报(信息科学版), vol. 36, no. 10, 2011.
• [7] 邓少平, 张继贤, 李平湘. 极化SAR影像边缘检测综述, 计算机工程与应用, vol. 47, no. 22, 2011.
• [6] 邓少平, 李平湘, 张继贤, 黄国满, 赵争. 一种基于证据理论的多极化SAR图像分割方法, 测绘科学, vol. 36, no. 6, 2011.
• [5] 杨杰, 郎丰铠, 李德仁. 一种利用Cloude-Pottier分解和极化白化滤波的全极化SAR图像分类算法, 武汉大学学报信息科学版, vol. 36，no. 1，2011.

2010年以前

• [4] 邓少平, 李平湘, 张继贤, 黄国满, 赵争. 一种改进的极化SAR Sigma滤波法. 测绘信息与工程, vol. 35, no. 6, 2010.
• [3] 史磊, 李平湘, 杨杰. 利用SIFT与粗差探测进行SAR影像配准, 武汉大学学报(信息科学版), vol. 35, no. 11, 2010.
• [2] 李平湘. 基于系统动力学理论的DEM内插方法研究, 测绘通报, no. 6, 2003.
• [1] 李平湘, 王智均. 高空间分辨率影像和多光谱影像融合的研究, 武汉大学学报(信息科学版), no. 1, 2003.