高光谱遥感

2002.09 – 2007.06 中国科学院遥感应用研究所 地图学与地理信息系统专业 博士学位
1998.09 – 2002.06 清华大学 结构工程专业 学士学位

2018.05至今 中国科学院空天信息创新研究院 研究员
2015.02 – 2018.04 中国科学院遥感与数字地球研究所 研究员
2012.11 – 2015.01 中国科学院遥感与数字地球研究所 副研究员
2010.01 – 2012.10 中国科学院对地观测与数字地球科学中心 副研究员
2008.01 – 2009.12 中国科学院对地观测与数字地球科学中心 助理研究员
2007.07 – 2007.12 中国科学院遥感应用研究所 助理研究员

2018.01 – 2020.12 国家自然科学基金优秀青年科学基金项目“高光谱遥感图像非线性特征建模与地物信息提取” 项目负责人
2018.12 – 2019.11 航天五院委托项目“高光谱卫星系统应用效能仿真验证研究” 项目负责人
2016.01 – 2020.12 总装预研项目“光电特性测量及评估技术研究” 项目负责人
2016.01 – 2019.12 国家自然科学基金面上项目“高光谱遥感影像复杂混合像元的群智能优化分解方法研究” 项目负责人
2013.01 – 2015.12 中国科学院重点部署项目“典型蚀变矿物高光谱智能观测机理研究” 项目负责人
2012.01 – 2015.12 国家高分专项项目课题“高分航空载荷协同处理与数据检验”项目课题2“被动遥感技术” 项目负责人
2011.01 – 2015.12 总装预研项目“XXX光谱特性分析与建模” 项目负责人
2011.01 – 2015.12 总装预研项目“XXX辐射特性分析与建模” 项目负责人

2018.12 国家科技进步奖二等奖 排名第6
2017.09 国家自然科学基金“优秀青年”
2017.01 中国科学院杰出科技成就奖 排名第6
2018.07 IEEE TGRS期刊最佳审稿人
2016.07 IEEE JSTARS期刊优秀审稿人

[1] Lianru Gao, Yiqun He, Xu Sun, Xiuping Jia, Bing Zhang. Incorporating negative sample training for ship detection based on deep learning. Sensors, 2019, 19(3), 684.
[2] Cong Li, Lianru Gao*, Antonio Plaza, Bing Zhang. FPGA implementation of a maximum simplex volume algorithm for endmember extraction from remotely sensed hyperspectral images. Journal of Real-Time Image Processing, 2019, 16(5): 1681-1694. (通讯)
[3] Ke Zheng, Lianru Gao*, Qiong Ran, Ximin Cui, Bing Zhang,Wenzhi Liao, and Sen Jia. Separable-spectral convolution and inception network for hyperspectral image super-resolution. International Journal of Machine Learning and Cybernetics, 2019, 10(10): 2593-2607. (通讯)
[4] Wenfei Luo, Lianru Gao*, Ruihao Zhang, Andrea Marinoni, Bing Zhang. Bilinear normal mixing model for spectral unmixing. IET Image Processing, 2019, 13(2): 344-354. (通讯)
[5] Ximin Cui, Ke Zheng, Lianru Gao*, Bing Zhang, Dong Yang, Jinchang Ren. Multiscale spatial-spectral convolutional network with image-based framework for hyperspectral imagery classification. Remote Sensing, 2019, 11, 2220. (通讯)
[6] Xuemei Zhao, Lianru Gao*, Zhengchao Chen, Bing Zhang, Wenzhi Liao, Xuan Yang. An Entropy and MRF model-based CNN for large scale Landsat image classification. IEEE Geoscience and Remote Sensing Letters, 2019, 16(7): 1145-1149. (通讯)
[7] Yuanfeng Wu, Sebastián López, Bing Zhang, Fei Qiao, Lianru Gao*. Approximate computing for onboard anomaly detection from hyperspectral images. Journal of Real-Time Image Processing, 2019, 16(1): 99-114. (通讯)
[8] Xuran Pan, Fan Yang, Lianru Gao, Zhengchao Chen, Bing Zhang, Hairui Fan, Jinchang Ren. Building extraction from high-resolution aerial imagery using a generative adversarial network with spatial and channel attention mechanisms. Remote Sensing, 2019, 11, 917.
[9] Liwei Li, Zhi Yan, Qian Shen, Gang Cheng, Lianru Gao, Bing Zhang. Water body extraction from very high spatial resolution remote sensing data based on fully convolutional networks. Remote Sensing, 2019, 11, 1162.
[10] Jianwei Gao, Yi Sun, Bing Zhang, Zhengchao Chen, Lianru Gao, Wenjuan Zhang. Multi-GPU based parallel design of the ant colony optimization algorithm for endmember extraction from hyperspectral images. Sensors, 2019, 19(3), 598.
[11] Peng Zhang, Haixia He, Lianru Gao. A nonlinear and explicit framework of supervised manifold-feature extraction for hyperspectral image classification. Neurocomputing, 2019, 337: 315-324.
[12] Xuran Pan, Lianru Gao*, Bing Zhang, Fan Yang, Wenzhi Liao. High-resolution aerial imagery semantic labeling with dense pyramid network. Sensors, 2018, 18(11), 3774. (通讯)
[13] Haoyang Yu, Lianru Gao*, Wenzhi Liao, Bing Zhang. Group sparse representation based on nonlocal spatial and local spectral similarity for hyperspectral imagery classification. Sensors, 2018, 18(6), 1695. (通讯)
[14] Maofeng Tang, Bing Zhang, Andrea Marinoni, Lianru Gao*, Paolo Gamba. Multiharmonic postnonlinear mixing model for hyperspectral nonlinear unmixing. IEEE Geoscience and Remote Sensing Letters, 2018, 15(11): 1765-1769. (通讯)
[15] Xuran Pan, Lianru Gao*, Andrea Marinoni, Bing Zhang, Fan Yang, Paolo Gamba. Semantic labeling of high resolution aerial imagery and LiDAR data with fine segmentation network. Remote Sensing, 2018, 10(5), 743. (通讯)
[16] Maofeng Tang, Lianru Gao*, Andrea Marinoni, Paolo Gamba, Bing Zhang. Integrating spatial information in the normalized P-linear algorithm for nonlinear hyperspectral unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(4): 1179-1190. (通讯)
[17] Cong Li, Lianru Gao*, Yuanfeng Wu, Bing Zhang, Javier Plaza, Antonio Plaza. A real-time unsupervised background extraction-based target detection method for hyperspectral imagery. Journal of Real-Time Image Processing, 2018, 15(3): 597-615. (通讯)
[18] Changyu Zhu, Jun Li, Shaoquan Zhang, Changshan Wu, Bing Zhang, Lianru Gao, Antonio Plaza. Impervious surface extraction from multispectral images via morphological attribute profiles based on spectral analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(12): 4775-4790.
[19] Jianhang Ma, Wenjuan Zhang, Andrea Marinoni, Lianru Gao, Bing Zhang. An improved spatial and temporal reflectance unmixing model to synthesize time series of Landsat-like images. Remote Sensing, 2018, 10(9), 1388.
[20] Qiaoqiao Shi, Wei Li, Fan Zhang, Wei Hu, Xu Sun, Lianru Gao. Deep CNN with multi-scale rotation invariance features for ship classification. IEEE Access, 2018, 6, 38656-38668.
[21] Jingjing Wu, Yu Jin, Wei Li, Lianru Gao, Bing Zhang. FPGA implementation of collaborative representation algorithm for real-time hyperspectral target detection. Journal of Real-Time Image Processing, 2018, 15(3): 673-685.
[22] Jianhang Ma, Wenjuan Zhang, Andrea Marinoni, Lianru Gao, Bing Zhang. Performance assessment of ESTARFM with different similar pixel identification schemes. Journal of Applied Remote Sensing, 2018, 12(2), 025017.
[23] Haoyang Yu, Lianru Gao, Bing Zhang. Union of random subspace-based group sparse representation for hyperspectral imagery classification. Remote Sensing Letters, 2018, 9(6): 534-540.
[24] Xiaodong Xu, Wei Li, Qiong Ran, Qian Du, Lianru Gao, Bing Zhang. Multisource remote sensing data classification based on convolutional neural network. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(2): 937-949.
[25] Lianru Gao, Dan Yao, Qingting Li, Lina Zhuang, Bing Zhang, José M. Bioucas-Dias. A new low-rank representation based hyperspectral image denoising method for mineral mapping. Remote Sensing, 2017, 9(11), 1145.
[26] Haoyang Yu, Lianru Gao*, Wenzhi Liao, Bing Zhang, Aleksandra Pi？urica, Wilfried Philips. Multiscale superpixel-level subspace-based support vector machines for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters, 2017, 14(11), 2142-2146. (通讯)
[27] Haoyang Yu, Lianru Gao*, Wei Li, Qian Du, Bing Zhang. Locality sensitive discriminant analysis for group sparse representation-based hyperspectral imagery classification. IEEE Geoscience and Remote Sensing Letters, 2017, 14(8), 1358-1362. (通讯)
[28] Lianru Gao, Bin Zhao, Xiuping Jia, Wenzhi Liao, Bing Zhang. Optimized kernel minimum noise fraction transformation for hyperspectral image classification. Remote Sensing, 2017, 9(6), 548.
[29] Lianru Gao, Haoyang Yu, Bing Zhang, Qingting Li. Locality-preserving sparse representation-based classification in hyperspectral imagery. Journal of Applied Remote Sensing, 2016, 10(4), 042004.
[30] Lianru Gao, Lina Zhuang, Bing Zhang. Region-based estimate of endmember variances for hyperspectral image unmixing. IEEE Geoscience and Remote Sensing Letters, 2016, 13(12), 1807-1811.
[31] Lianru Gao, Lina Zhuang, Yuanfeng Wu, Xu Sun, Bing Zhang. A quantitative and comparative analysis of different preprocessing implementations of DPSO: a robust endmember extraction algorithm. Soft Computing, 2016, 20(12): 4669-4683.
[32] Haoyang Yu, Lianru Gao*, Jun Li, Shanshan Li, Bing Zhang, Jon Alti Benediktsson. Spectral-spatial hyperspectral image classification using subspace-based support vector machines and adaptive Markov random fields. Remote Sensing, 2016, 8(4), 355. (通讯)
[33] Wenfei Luo, Lianru Gao*, Antonio Plaza, Andrea Marinoni, Bin Yang, Liang Zhong, Paolo Gamba, Bing Zhang. A new algorithm for bilinear spectral unmixing of hyperspectral images using particle swarm optimization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(12), 5776-5790. (通讯)
[34] Yuanfeng Wu, Xinhua Yang, Antonio Plaza, Fei Qiao, Lianru Gao*, Bing Zhang, Yabo Cui. Approximate computing of remotely sensed Data: SVM Hyperspectral image classification as a case study. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(12): 5806-5818. (通讯)
[35] Yuanchao Su, Xu Sun, Lianru Gao*, Jun Li, and Bing Zhang. Improved discrete swarm intelligence algorithms for endmember extraction from hyperspectral remote sensing images. Journal of Applied Remote Sensing, 2016, 10(4), 045018. (通讯)
[36] Qiandong Guo, Ruiliang Pu, Lianru Gao, Bing Zhang. A novel anomaly detection method incorporating target information derived from hyperspectral imagery. Remote Sensing Letters, 2016, 7(1):11-20.
[37] Shanshan Li, Li Ni, Xiuping Jia, Lianru Gao, Bing Zhang, Man Peng. Multi-scale superpixel spectral-spatial classification of hyperspectral images. International Journal of Remote Sensing, 2016, 37(20): 4905-4922.
[38] Liwei Li, Bing Zhang, Wei Li, Lianru Gao. Orthogonal polynomial function fitting for hyperspectral data representation and discrimination. Pattern Recognition Letters, 2016, 83: 160-168.
[39] Lianru Gao, Bin Yang, Qian Du, Bing Zhang. Adjusted spectral matched filter for target detection in hyperspectral imagery. Remote Sensing, 2015, 7(6): 6611-6634.
[40] Xiaoxia Sun, Liwei Li, Bing Zhang, Dongmei Chen, Lianru Gao. Soft urban water cover extraction using mixed training samples and Support Vector Machines. International Journal of Remote Sensing, 2015, 36(13): 3331-3344.
[41] Yuanfeng Wu, Jun Li, Lianru Gao, Xuemin Tan, Bing Zhang. Graphics processing unit-accelerated computation of the Markov random fields and loopy belief propagation algorithms for hyperspectral image classification. Journal of Applied Remote Sensing, 2015, 9(1), 097295.
[42] Bin Yang, Minhua Yang, Antonio Plaza, Lianru Gao, Bing Zhang. Dual-mode FPGA implementation of target and anomaly detection algorithms for real-time hyperspectral imaging. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(6): 2950-2961.
[43] Xu Sun, Lina Yang, Bing Zhang, Lianru Gao, Jianwei Gao. An endmember extraction method based on artificial bee colony algorithms for hyperspectral remote sensing images. Remote Sensing, 2015, 7(12): 16363-16383.
[44] Xu Sun, Lina Yang, Lianru Gao, Bing Zhang, Shanshan Li, Jun Li. Hyperspectral image clustering method based on artificial bee colony algorithm and Markov random fields. Journal of Applied Remote Sensing, 2015, 9(1): 095047.
[45] Lianru Gao, Jianwei Gao, Jun Li, Antonio Plaza, Lina Zhuang, Xu Sun, Bing Zhang. Multiple algorithm integration based on ant colony optimization for endmember extraction from hyperspectral imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(6): 2569-2582.
[46] Lianru Gao, Jun Li, Mahdi Khodadadzadeh, Antonio Plaza, Bing Zhang, Zhijian He, Huiming Yan. Subspace-based support vector machines for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters, 2015, 12(2): 349-353.
[47] Lina Zhuang, Bing Zhang, Lianru Gao*, Jun Li, Antonio Plaza. Normal endmember spectral unmixing method for hyperspectral imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(6): 2598-2606. (通讯)

招收遥感科学与技术、信号与信息处理等方向研究生
招生方向：高光谱遥感

2019.06 贺逸群 香港中文大学攻读博士学位
2018.06 姚丹 英国赫瑞瓦特大学攻读博士学位
2017.06 赵斌 冰岛大学攻读博士学位