基本信息
高连如男博导中国科学院空天信息创新研究院
电子邮件： gaolr@radi.ac.cn
通信地址： 北京市海淀区邓庄南路9号
邮政编码： 100094

研究领域

招生信息
招生专业070503-地图学与地理信息系统

招生方向高光谱遥感


教育背景2002-09--2007-06中国科学院遥感应用研究所博士
1998-09--2002-06清华大学学士

学历
学位

工作经历
工作简历2015-02~现在,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
2002-09~2007-06,中国科学院遥感应用研究所,博士
1998-09~2002-06,清华大学,学士

社会兼职2018-06-01-今,中国图象图形学学会遥感图像专业委员会, 委员


教授课程高光谱遥感
高光谱图像分类与目标探测


专利与奖励
奖励信息（1） 高光谱遥感信息机理与多学科应用, 二等奖, 国家级, 2018
（2） 中国科学院杰出科技成就奖, 院级, 2016

专利成果（ 1 ） 一种高光谱图像中目标地物检测方法及装置, 2013, 第 2 作者, 专利号: ZL9.0
（ 2 ） 高维空间定向投影端元提取方法, 2013, 第 2 作者, 专利号: ZL7.1
（ 3 ） 一种高维数据可视化方法及装置, 2015, 第 2 作者, 专利号: ZL2.4
（ 4 ） 地物光谱获取方法及装置、高光谱图像目标探测方法及装置, 2015, 第 2 作者, 专利号: ZL4.X
（ 5 ） 目标投影探测方法, 2014, 第 2 作者, 专利号: ZL3.3
（ 6 ） 一种遥感器指标设计方法, 2014, 第 3 作者, 专利号: ZL7.3
（ 7 ） 数字图像显示方法以及高光谱望远镜, 2015, 第 3 作者, 专利号: ZL8.3
（ 8 ） 从高空间分辨率光学影像中提取倒塌房屋的方法及装置, 2016, 第 3 作者, 专利号: ZL8.0
（ 9 ） 一种高光谱图像的异常检测方法及装置, 2016, 第 2 作者, 专利号: ZL5.7
（ 10 ） 高光谱图像波段选择方法及装置, 2016, 第 2 作者, 专利号: ZL9.7
（ 11 ） 一种目标识别方法及装置, 2016, 第 3 作者, 专利号: ZL5.6
（ 12 ） 一种中红外强吸收通道图像模拟方法及装置, 2016, 第 4 作者, 专利号: ZL5.6
（ 13 ） 高光谱遥感图像特征提取方法及装置, 2017, 第 2 作者, 专利号: ZL5.0
（ 14 ） 光谱数据处理方法及装置, 2017, 第 2 作者, 专利号: ZL7.3
（ 15 ） 一种高光谱图像的波段选择方法及装置, 2017, 第 3 作者, 专利号: ZL2.7
（ 16 ） 一种异常检测方法及装置, 2017, 第 2 作者, 专利号: ZL0.3
（ 17 ） 一种从图像中探测目标的方法及装置, 2017, 第 3 作者, 专利号: ZL4.9
（ 18 ） 一种全谱段高光谱图像模拟方法及装置, 2019, 第 3 作者, 专利号: ZL2.3
（ 19 ） 植被区高光谱图像模拟方法, 2019, 第 5 作者, 专利号: ZL4.5
（ 20 ） 一种高光谱图像端元提取方法及装置, 2018, 第 4 作者, 专利号: ZL2.2
（ 21 ） 一种从图像中探测目标的方法及装置, 2018, 第 2 作者, 专利号: ZL1.9


出版信息
发表论文（1）Incorporating negative sample training for ship detection based on deep learning,Sensors,2019,第1作者
（2）Bilinear normal mixing model for spectral unmixing,IET Image Processing,2019,第11作者
（3）Approximate computing for onboard anomaly detection from hyperspectral images,Journal of Real-Time Image Processing,2019,第11作者
（4）A nonlinear and explicit framework of supervised manifold-feature extraction for hyperspectral image classification,Neurocomputing,2019,第3作者
（5）An entropy and MRF model-based CNN for large scale Landsat image classification,IEEE Geoscience and Remote Sensing Letters,2019,第11作者
（6）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,第11作者
（7）Multisource remote sensing data classification based on convolutional neural network,IEEE Transactions on Geoscience and Remote Sensing,2018,第5作者
（8）Union of random subspace-based group sparse representation for hyperspectral imagery classification,Remote Sensing Letters,2018,第2作者
（9）Semantic labeling of high resolution aerial imagery and LiDAR data with fine segmentation network,Remote Sensing,2018,第11作者
（10）High-resolution aerial imagery semantic labeling with dense pyramid network,Sensors,2018,第11作者
（11）Group sparse representation based on nonlocal spatial and local spectral similarity for hyperspectral imagery classification,Sensors,2018,第11作者
（12）Multiharmonic postnonlinear mixing model for hyperspectral nonlinear unmixing,IEEE Geoscience and Remote Sensing Letters,2018,第11作者
（13）A real-time unsupervised background extraction-based target detection method for hyperspectral imagery,Journal of Real-Time Image Processing,2018,第11作者
（14）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,第6作者
（15）An improved spatial and temporal reflectance unmixing model to synthesize time series of Landsat-like images,Remote Sensing,2018,第4作者
（16）Deep CNN with multi-scale rotation invariance features for ship classification,IEEE Access,2018,第6作者
（17）FPGA implementation of collaborative representation algorithm for real-time hyperspectral target detection,Journal of Real-Time Image Processing,2018,第4作者
（18）Performance assessment of ESTARFM with different similar-pixel identification schemes,Journal of Applied Remote Sensing,2018,第4作者
（19）Locality sensitive discriminant analysis for group sparse representation-based hyperspectral imagery classification,IEEE Geoscience and Remote Sensing Letters,2017,第11作者
（20）Multiscale superpixel-level subspace-based support vector machines for hyperspectral image classification,IEEE Geoscience and Remote Sensing Letters,2017,第11作者
（21）A new low-rank representation based hyperspectral image denoising method for mineral mapping,Remote Sensing,2017,第1作者
（22）A real-time unsupervised background extraction-based target detection method for hyperspectral imagery,Journal of Real-Time Image Processing,2017,第11作者
（23）FPGA implementation of a maximum simplex volume algorithm for endmember extraction from remotely sensed hyperspectral images,Journal of Real-Time Image Processing,2017,第11作者
（24）Optimized kernel minimum noise fraction transformation for hyperspectral image classification,Remote Sensing,2017,第1作者
（25）A novel anomaly detection method incorporating target information derived from hyperspectral imagery,Remote Sensing Letters,2016,第3作者
（26）Spectral-spatial hyperspectral image classification using subspace-based support vector machines and adaptive markov random fields,Remote Sensing,2016,第11作者
（27）Orthogonal polynomial function fitting for hyperspectral data representation and discrimination,Pattern Recognition Letters,2016,第4作者
（28）Multi-scale superpixel spectral-spatial classification of hyperspectral images,International Journal of Remote Sensing,2016,第4作者
（29）A quantitative and comparative analysis of different preprocessing implementations of DPSO: a robust endmember extraction algorithm,Soft Computing,2016,第1作者
（30）Improved discrete swarm intelligence algorithms for endmember extraction from hyperspectral remote sensing images,Journal of Applied Remote Sensing,2016,第11作者
（31）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,第11作者
（32）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,第11作者
（33）Region-based estimate of endmember variances for hyperspectral image unmixing,IEEE Geoscience and Remote Sensing Letters,2016,第1作者
（34）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,第1作者
（35）Hyperspectral image clustering method based on artificial bee colony algorithm and Markov random fields,Journal of Applied Remote Sensing,2015,第3作者
（36）An endmember extraction method based on artificial bee colony algorithms for hyperspectral remote sensing images,Remote Sensing,2015,第4作者
（37）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,第4作者
（38）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,第3作者
（39）Adjusted spectral matched filter for target detection in hyperspectral imagery,Remote Sensing,2015,第1作者
（40）Normal endmember spectral unmixing method for hyperspectral imagery,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2015,第11作者
（41）Subspace-based support vector machines for hyperspectral image classification,IEEE Geoscience and Remote Sensing Letters,2015,第1作者
（42）Probabilistic anomaly detector for remotely sensed hyperspectral data,Journal of Applied Remote Sensing,2014,第1作者
（43）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,第4作者
（44）Ant colony optimization-based supervised and unsupervised band selections for hyperspectral urban data classification,Journal of Applied Remote Sensing,2014,第3作者
（45）Edge-constrained Markov random field classification by integrating hyperspectral image with LiDAR data over urban areas,Journal of Applied Remote Sensing,2014,第2作者
（46）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,第11作者
（47）Real-time implementation of optimized maximum noise fraction transform for feature extraction of hyperspectral images,Journal of Applied Remote Sensing,2014,第11作者
（48）PSO-EM: A hyperspectral unmixing algorithm based on normal compositional model,IEEE Transactions on Geoscience and Remote Sensing,2014,第3作者
（49）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,第1作者
（50）Optimized maximum noise fraction for dimensionality reduction of Chinese HJ-1A hyperspectral data,EURASIP Journal on Advances in Signal Processing,2013,第1作者
（51）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,第3作者
（52）A neighborhood constrained k-means approach to classify very high spatial resolution hyperspectral imagery,Remote Sensing Letters,2013,第4作者
（53）Hyperspectral imagery clustering with neighborhood constraints,IEEE Geoscience and Remote Sensing Letters,2013,第11作者
（54）Real-time target detection in hyperspectral images based on spatial-spectral information extraction,EURASIP Journal on Advances in Signal Processing,2012,第3作者
（55）基于高光谱辐亮度图像进行目标探测的大气状态影响分析,Impact analysis of atmospheric state for target detection in hyperspectral radiance image,光谱学与光谱分析,2012,第4作者
（56）A comparative study on noise estimation for hyperspectral imagery,4rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing,2012,第1作者
（57）二级并行独立成分分析端元提取算法,Two-level parallel independent component analysis endmember extraction algorithms,遥感学报,2011,第2作者
（58）Endmember extraction of hyperspectral remote sensing images based on the ant colony optimization (ACO) algorithm,IEEE Transactions on Geoscience and Remote Sensing,2011,第3作者
（59）Endmember extraction of hyperspectral remote sensing images based on the discrete particle swarm optimization algorithm,IEEE Transactions on Geoscience and Remote Sensing,2011,第3作者
（60）一种基于离散粒子群优化算法的高光谱图像端元提取方法,A method of endmember extraction in hyperspectral remote sensing images based on discrete particle swarm optimization (D-PSO),光谱学与光谱分析,2011,第3作者
（61）Adaptive markov random field approach for classification of hyperspectral imagery,IEEE Geoscience and Remote Sensing Letters,2011,第4作者
（62）Adaptive support vector machine and Markov random field model for classifying hyperspectral imagery,Journal of Applied Remote Sensing,2011,第4作者
（63）Study on the issue of noise estimation in dimension reduction of hyperspectral images,3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing,2011,第1作者
（64）高光谱遥感图像端元提取的零空间光谱投影算法,Null space spectral projection algorithm for hyperspectral image endmember extraction,红外与毫米波学报,2010,第4作者
（65）高光谱遥感图像光谱解混的独立成分分析技术,Independent component analysis for spectral unmixing in hyperspectral remote sensing image,光谱学与光谱分析,2010,第4作者
（66）基于方差最小的高光谱目标探测算法研究,Research of hyperspectral target detection algorithms based on variance minimum,光学学报,2010,第3作者
（67）New thoughts for onboard compression of satellite images,IEEE IGARSS 2009 Proceedings,2009,第1作者
（68）Image simulation based analysis for hyperspectral target detection,Proceedings of SPIE,2009,第1作者
（69）基于改进噪声评估的高光谱图像最大噪声分数变换方法,A maximum noise fraction transform with improved noise estimation for hyperspectral images,中国科学 信息科学,2009,第3作者
（70）基于子空间距离的高光谱图像光谱解混算法,Study on hyperspectral image spectral unmixing algorithm based on null space distance,自然科学进展,2008,第4作者
（71）干涉成像光谱仪切趾函数对复原光谱的影响分析,Effects of apodization functions of imaging Fourier transform spectrometer on reconstructed spectrum,红外与毫米波学报,2008,第4作者
（72）A new operational method for estimating noise in hyperspectral images,IEEE Geoscience and Remote Sensing Letters,2008,第1作者
（73）A residual-scaled local standard deviations method for estimating noise in hyperspectral images,Proceedings of SPIE,2007,第1作者
（74）基于局部标准差的遥感图像噪声评估方法研究,Study on the method for estimating the noise in remote sensing images based on local standard deviations,遥感学报,2007,第1作者
（75）油漆涂层对板材红外光谱特性影响分析,Infrared spectral analysis of architectural materials covered by different paints,红外与毫米波学报,2006,第1作者

发表著作（ 1 ） 高光谱图像分类与目标探测,Hyperspectral image classification and target detection,科学出版社,2011-05,第2作者


科研活动
科研项目（ 1 ） 典型蚀变矿物高光谱智能观测机理研究, 主持,部委级,2013-01--2015-12
（ 2 ） 航空高光谱遥感数据精细分类与丰度反演产品加工技术, 主持,国家级,2011-01--2013-06
（ 3 ） 航空载荷协同处理, 主持,国家级,2012-01--2015-12
（ 4 ） 辐射特性分析与建模, 主持,国家级,2011-01--2013-06
（ 5 ） 光谱特性分析与建模, 主持,国家级,2011-01--2013-06
（ 6 ） 高光谱图像反射率反演软件研制, 主持,市地级,2011-07--2013-06
（ 7 ） 航空系统成像光谱仪需求分析, 主持,国家级,2012-01--2013-06
（ 8 ） 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, 主持,国家级,2016-01--2019-12
（ 9 ） 高光谱图像智能快速处理技术, 主持,部委级,2016-01--2017-12
（ 10 ） 高光谱遥感图像非线性特征建模与地物信息提取, 主持,国家级,2018-01--2020-12
（ 11 ） XX综合评估技术研究, 主持,国家级,2016-01--2020-12
（ 12 ） XX高光谱效能仿真验证研究, 主持,院级,2018-12--2019-11

参与会议（1）Ship detection without sea-land segmentation for large-scale high-resolution optical satellite images2018-07-22
（2）Nonlinear hyperspectral unmixing based on normalized P-linear algorithm2017-07-23
（3）FPGA implementation of maximum volume algorithm for endmember extraction from hyperspectral imagery2015-06-02
（4）Requirements and optimization of sensor parameters for mineral extraction2015-06-02
（5）A comparative study on noise estimation for hyperspectral imageryLianru Gao, Qian Du, Wei Yang, and Bing Zhang2012-06-04
（6）Study on the issue of noise estimation in dimension reduction of hyperspectral imagesLianru Gao, Bing Zhang, Zhengchao Chen, and Liping Lei2011-06-06


合作情况
项目协作单位

指导学生