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　　主要研究方向為高光譜圖像信息提取機理與方法。圍繞這一領(lǐng)域研究，主持了國家和部委級的科研項目共10項，包括：國家自然科學(xué)基金項目、國家科技支撐計劃項目、中國科學(xué)院重點(diǎn)部署項目、總裝預研項目和國家高分專(zhuān)項項目課題等，主持開(kāi)發(fā)了高光譜圖像信息提取軟件系統和硬件系統各一套，成果在國家相關(guān)部門(mén)發(fā)揮了重要應用價(jià)值。2011年合作出版了學(xué)術(shù)專(zhuān)著(zhù)《高光譜圖像分類(lèi)與目標探測》，這是國內專(zhuān)門(mén)針對高光譜圖像分類(lèi)與目標探測模型方法研究和應用示例的第一本系統性專(zhuān)著(zhù)。已經(jīng)在《IEEE TGRS》、《IEEE JSTARS》、《IEEE GRSL》、《Journal of Applied Remote Sensing》、《Remote Sensing》和《遙感學(xué)報》等國內外期刊和會(huì )議上發(fā)表了學(xué)術(shù)論文90余篇，其中SCI收錄35篇；申請國家發(fā)明專(zhuān)利/國防專(zhuān)利共21項，已經(jīng)獲得授權有7項；獲得軟件著(zhù)作權登記4項?，F為IEEE和SPIE會(huì )員，是《IEEE TGRS》、《IEEE JSTARS》、《IEEE GRSL》等多個(gè)國際SCI期刊的審稿專(zhuān)家。2012年、2015年國際高光譜學(xué)術(shù)會(huì )議（WHISPERS）分會(huì )主席；2014年多源遙感國際研討會(huì )學(xué)術(shù)委員會(huì )委員，做大會(huì )特邀報告；2015年、2016年西班牙GISTAM國際學(xué)術(shù)會(huì )議程序委員會(huì )委員。

教育背景：

2002.09 – 2007.06，中國科學(xué)院遙感應用研究所，博士

1998.09 – 2002.06，清華大學(xué)，學(xué)士

科研工作經(jīng)歷：

2015.02 – 至今，中國科學(xué)院遙感與數字地球研究所，研究員

2013.01 – 2015.01，中國科學(xué)院遙感與數字地球研究所，副研究員

2010.01 – 2012.12，中國科學(xué)院對地觀(guān)測與數字地球科學(xué)中心，副研究員

2008.01 – 2009.12，中國科學(xué)院對地觀(guān)測與數字地球科學(xué)中心，助理研究員

2007.07 – 2007.12，中國科學(xué)院遙感應用研究所，助理研究員

研究生培養：

已聯(lián)合培養博士研究生、碩士研究生8名？

高光譜遙感

專(zhuān)著(zhù)：

張兵, 高連如. 《高光譜圖像分類(lèi)與目標探測》, 北京: 科學(xué)出版社, 2011年5月第一版, ISBN 978-7-03-030863-4, 45.9萬(wàn)字.？

代表性論文：

[1] Qiandong Guo, Ruiliang Pu, Lianru Gao, and Bing Zhang. A novel anomaly detection method incorporating target information derived from hyperspectral imagery, Remote Sensing Letters, 7(1):11-20.

[2] Lianru Gao, Bin Yang, Qian Du, and Bing Zhang. Adjusted spectral matched filter for target detection in hyperspectral imagery, Remote Sensing, 2015, 7(6): 6611-6634.

[3] Xiaoxia Sun, Liwei Li, Bing Zhang, Dongmei Chen, and 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.

[4] Yuanfeng Wu, Jun Li, Lianru Gao, Xuemin Tan, and 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.

[5] 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.

[6] Xu Sun, Lina Yang, Bing Zhang, Lianru Gao, and Jianwei Gao. An endmember extraction method based on artificial bee colony algorithms for hyperspectral remote sensing images. Remote Sensing, 2015, 7(12): 16363-16383.

[7]Xu Sun, Lina Yang, Lianru Gao, Bing Zhang, Shanshan Li and 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.

[8] Lianru Gao, Jianwei Gao, Jun Li, Antonio Plaza, Lina Zhuang Xu Sun, and 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.

[9] Lianru Gao, Qiandong Guo, Antonio Plaza, Jun Li, and Bing Zhang. Probabilistic anomaly detector for remotely sensed hyperspectral data. Journal of Applied Remote Sensing, 2014, 8(1): 083538.

[10] Lianru Gao, Jun Li, Mahdi Khodadadzadeh, Antonio Plaza, Bing Zhang, Zhijian He, and Huiming Yan. Subspace-based support vector machines for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters, 2015, 12(2): 349-353.

[11] Lina Zhuang, Bing Zhang, Lianru Gao, Jun Li and 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. (通訊作者)

[12] Bing Zhang, Lina Zhuang, Lianru Gao, Wenfei Luo, Qiong Ran, and Qian Du. PSO-EM: A hyperspectral unmixing algorithm based on normal compositional model. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(12): 7782-7792.

[13] Yuanfeng Wu, Lianru Gao, Bing Zhang, Haina Zhao, and Jun Li. Real-time implementation of optimized maximum noise fraction transform for feature extraction of hyperspectral images. Journal of Applied Remote Sensing, 2014, 8(1): 084797. (通訊作者)

[14] Qiandong Guo, Bing Zhang, Qiong Ran, Lianru Gao, Jun Li, and Antonio Plaza. Weighted-RXD and linear filter-based RXD: improving background statistics estimation for anomaly detection in hyperspectral imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(6): 2351-2366. (通訊作者)

[15] Li Ni, Lianru Gao, Shanshan Li, Jun Li, and Bing Zhang. Edge-constrained Markov random field classification by integrating hyperspectral image with LiDAR data over urban areas. Journal of Applied Remote Sensing, 2014, 8(1): 085089.

[16] Jianwei Gao, Qian Du, Lianru Gao, Xu Sun, and Bing Zhang. Ant colony optimization-based supervised and unsupervised band selections for hyperspectral urban data classification. Journal of Applied Remote Sensing, 2014, 8(1): 085094.

[17] Bing Zhang, Yao Liu, Wenjuan Zhang, Lianru Gao, Jun Li, Jun Wang, and Xia Li. Analysis of the proportion of surface reflected radiance in mid-infrared absorption bands. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(6): 2639-2646.

[18] Lianru Gao, Qian Du, Bing Zhang, Wei Yang, and Yuanfeng Wu. A comparative study on linear regression-based noise estimation for hyperspectral imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(2): 488-498.

[19] Lianru Gao, Bing Zhang, Xu Sun, Shanshan Li, Qian Du, and Changshan Wu. Optimized maximum noise fraction for dimensionality reduction of Chinese HJ-1A hyperspectral data. EURASIP Journal on Advances in Signal Processing 2013, 2013: 65.

[20] Bing Zhang, Jianwei Gao, Lianru Gao, and Xu Sun. Improvements in the ant colony optimization algorithm for endmember extraction from hyperspectral images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(2): 522-530.

[21] Bing Zhang, Shanshan Li, Changshan Wu, Lianru Gao, Wenjuan Zhang, and Man Peng. A neighborhood constrained k-means approach to classify very high spatial resolution hyperspectral imagery. Remote Sensing Letters, 2013,4(2): 161-170.

[22] Shanshan Li, Bing Zhang, An Li, Xiuping Jia, Lianru Gao, and Man Peng. Hyperspectral imagery clustering with neighborhood constraints. IEEE Geoscience and Remote Sensing Letters, 2013, 10(3): 588-592.

[23] Bing Zhang, Wei Yang, Lianru Gao, and Dongmei Chen. Real-time target detection in hyperspectral images based on spatial-spectral information extraction. EURASIP Journal on Advances in Signal Processing 2012, 2012: 142.

[24] Bing Zhang, Jianjun Sha, Xiangwei Wang, and Lianru Gao. Impact analysis of atmospheric state for target detection in hyperspectral radiance image. Spectroscopy and Spectral Analysis, 2012, 32(8): 2043-2049.

[25] Bing Zhang, Xun Sun, Lianru Gao, and Lina Yang. Endmember extraction of hyperspectral remote sensing images based on the discrete particle swarm optimization algorithm. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(11): 4173-4176.

[26] Bing Zhang, Xun Sun, Lianru Gao, and Lina Yang. Endmember extraction of hyperspectral remote sensing images based on the ant colony optimization (ACO) algorithm. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(7): 2635-2646.

[27] Bing Zhang, Shanshan Li, Xiuping Jia, Lianru Gao, and Man Peng. Adaptive markov random field approach for classification of hyperspectral imagery. IEEE Geoscience and Remote Sensing Letters, 2011, 8(5): 973-977.

[28] Shanshan Li, Bing Zhang, Dongmei Chen, Lianru Gao, and Man Peng. Adaptive support vector machine and Markov random field model for classifying hyperspectral imagery. Journal of Applied Remote Sensing, 2011, 5(1): 053538.

[29] Bing Zhang, Xu Sun, Lianru Gao, and Lina Yang. A method of endmember extraction in hyperspectral remote sensing images based on Discrete Particle Swarm Optimization (D-PSO). Spectroscopy and Spectral Analysis, 2011, 31(9): 2455-2461.

[30] Wenfei Luo, Liang Zhong, Bing Zhang, and Lianru Gao. Null space spectral projection algorithm for hyperspectral image endmember extraction. Journal of Infrared and Millimeter Waves, 2010, 29(4): 307-320.

[31] Wenfei Luo, Liang Zhong, Bing Zhang, and Lianru Gao. Independent component analysis for spectral unmixing in hyperspectral remote sensing image. Spectroscopy and Spectral Analysis, 2010, 30(6); 1628-1633.

[32] Xiang Liu, Bing Zhang, Lianru Gao, and Dongmei Chen. A maximum noise fraction transform with improved noise estimation for hyperspectral images. Science in China Series F-Information Sciences, 2009, 52(9): 1578-1587.

[33] Wenjuan Zhang, Bing Zhang, Xia Zhang, Lianru Gao, and Wei Zhang. Effects of apodization functions of imaging Fourier transform spectrometer on reconstructed spectrum. Journal of Infrared and Millimeter Waves, 2008, 27(3): 227-232.

[34] Lianru Gao, Bing Zhang, Xia Zhang, Wenjuan Zhang and Qingxi Tong. A new operational method for estimating noise in hyperspectral images. IEEE Geoscience and Remote Sensing Letters, 2008, 5(1): 83-87.

[35] Lianru Gao, Bing Zhang, Xia Zhang, and Junsheng Li. Infrared spectral analysis of architectural materials covered by different paints. Journal of Infrared and Millimeter Waves, 2006, 25(6): 411-416.

專(zhuān)利：

[1] 張兵, 高連如, 孫旭, 吳遠峰, 張文娟, 申茜. 高維空間定向投影端元提取方法, ZL201110107797.1.

[2] 張兵, 高連如, 孫旭, 張文娟, 吳遠峰和高東生. 目標投影探測方法, ZL201110014723.3.

[3] 張兵, 張文娟, 高連如, 孫旭, 吳遠峰和高東生. 一種遙感器指標設計方法, ZL201110015607.3.

[4] 張兵, 高連如, 楊威, 孫旭, 吳遠峰, 李利偉. 一種高光譜圖像中目標地物檢測方法及裝置, ZL201210056079.0.

[5] 張兵, 高連如, 孫旭, 高建威, 吳遠峰, 申茜. 一種高維數據可視化方法及裝置, ZL201210163032.4.

[6] 張兵, 高連如, 孫旭, 吳遠峰, 郭乾東, 高建威. 地物光譜獲取方法及裝置、高光譜圖像目標探測方法及裝置, ZL201310021964.X.

[7] 張兵, 吳遠峰, 高連如, 張文娟, 申茜. 數字圖像顯示方法以及高光譜望遠鏡, ZL 201410075088.3.

軟件著(zhù)作權：

[1] 高光譜遙感圖像目標探測軟件V1.0, 2011SR036579.

[2] 高光譜遙感圖像自動(dòng)分類(lèi)軟件V1.0, 2011SR036581.

[3] CE-1干涉成像光譜儀光譜復原軟件V1.0, 2011SR008706.

[4] 航空高光譜遙感數據精細分類(lèi)與豐度反演軟件V1.0, 2013SR041114.