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姚振东，男，教授，生于1964年，本科学历，学士学位。2016年赴美科罗拉多州立大学访问，研究用于探测降水及其分类与粒子谱廓线的垂直指向双偏振多普勒天气雷达。2013年被派往中国气象局气象探测中心空基室挂职副主任，对气象探测前沿技术与需求有较为深入的理解。
航天科工203所成功研制了我国首套绝对相位噪声标准，在国际上首次提出采用有色噪声源，解决相位噪声近载频溯源问题，已获国家发明专利授权。通过与国外权威机构进行比对验证，该标准将目前国内的验证不确定度测量水平提升了三倍以上。
内蒙古工业大学信息工程学院硕士生导师谭维贤副教授
内蒙古工业大学信息工程学院 硕士生导师 谭维贤 副教授 雷达系统技术 微波二维 三维成像 微波遥感应用
2018/5/14
谭维贤，男，1981年8月生，土家族，湖北恩施人，博士，副教授，硕士生导师。现就职于信息工程学院电子系信息与通讯工程学科，现指导硕士生3人。2000-2004年就读于西安邮电大学通信工程专业，获通信工程学士学位；2004- 2009年于就读于中国科学院电子学研究所信号与信息处理专业，获得信号与信息处理博士学位。研究方向【1】雷达系统技术【2】微波二维/三维成像【3】微波遥感应用。近年来发表论文多篇...
内蒙古工业大学信息工程学院硕士生导师黄平平教授
内蒙古工业大学信息工程学院 硕士生导师 黄平平 教授 新体制雷达系统设计 雷达信号处理 微波遥感应用
2018/5/14
黄平平，男，1978年10月生，汉族，山东海阳人，博士，教授，硕士生导师。现就职于信息工程学院电子系信息与通信工程学科，已指导毕业硕士生3人，现在读硕士8人。1999-2003年就读于山东理工大学电子信息工程专业，获得工学学士学位；2004-2007年就读于内蒙古工业大学检测技术及其自动化装置专业，获得工学硕士学位；2007-2010年就读于中国科学院电子学研究所通信与信息系统专业，获得工学博士学...
北京地区大气温度及重力波活动的季节变化
激光雷达 大气温度 重力波 势能密度
2018/5/4
利用瑞利激光雷达观测数据，分析了北京地区35~70km高度范围内大气温度和重力波活动的季节变化.发现北京地区30~70km高度范围内的大气温度有明显的年周期变化：平流层顶最高温度出现在6，7月份，大约为270K；中间层70km高度最低温度也出现在6，7月份，大约为200K.以2014年10月14日晚数据为例，分析重力波势能密度，发现50km以下重力波势能存在耗散，而在50km以上重力波近乎无耗散地...
ABOVEGROUND BIOMASS ESTIMATION USING RECONSTRUCTED FEATURE OF AIRBORNE DISCRETE-RETURN LIDAR BY AUTO-ENCODER NEURAL NETWORK
Aboveground Biomass (AGB) Estimation Discrete-Return LiDAR Regression Auto-Encoder Neural Network
2018/4/30
Aboveground biomass (AGB) estimation is critical for quantifying carbon stocks and essential for evaluating carbon cycle. In recent years, airborne LiDAR shows its great ability for highly-precision A...
INFRARED ROTATION PLANE RADAR CHANGE DETECTION
Infrared Rotation Plane Radar Change Detection Depth Information Mixed Gaussian Background Modeling
2018/4/30
The existing change detection method mainly stays on the pixel-level, which is very susceptible to light, shadow, etc. And the complex calculation and analysis for each pixel reduce the detection effi...
GF-3 SAR IMAGE DESPECKLING BASED ON THE IMPROVED NON-LOCAL MEANS USING NON-SUBSAMPLED SHEARLET TRANSFORM
GF-3 SAR non-subsampled Shearlet transform image despeckling improved Non-Local Means
2018/4/30
GF-3 synthetic aperture radar (SAR) images are rich in information and have obvious sparse features. However, the speckle appears in the GF-3 SAR images due to the coherent imaging system and it hinde...
FLOOD EXTENT MAPPING USING DUAL-POLARIMETRIC SENTINEL-1 SYNTHETIC APERTURE RADAR IMAGERY
Flood Polarimetry SAR Radar Harvey Sentinel-1
2018/4/30
Rapid generation of synthetic aperture radar (SAR) based flood extent maps provide valuable data in disaster response efforts thanks to the cloud penetrating ability of microwaves. We present a method...
APPLICABILITY ANALYSIS OF CLOTH SIMULATION FILTERING ALGORITHM FOR MOBILE LIDAR POINT CLOUD
LiDAR point cloud Cloth simulation filtering Mobile laser scanning Ground points Non-ground points
2018/4/30
Classifying the original point clouds into ground and non-ground points is a key step in LiDAR (light detection and ranging) data post-processing. Cloth simulation filtering (CSF) algorithm, which bas...
MEASUREMENT OF SEAWARD GROUND DISPLACEMENTS ON COASTAL LANDFILL AREA USING RADAR INTERFEROMETRY
SAR SAR Interferometry Multiple-Aperture SAR Interferometry Coastal landfill Three-dimensional measurements
2018/4/30
In order to understand the mechanism of subsidence and help reducing damage, researchers has been observed the line-of-sight subsidence on the Noksan industrial complex using SAR Interferometry(InSAR)...
EARTHQUAKE BUILDING DAMAGE MAPPING BASED ON FEATURE ANALYZING METHOD FROM SYNTHETIC APERTURE RADAR DATA
Building Damage Assessment Earthquake Emergency Feature Analysing SAR
2018/4/30
Playing an important role in gathering information of social infrastructure damage, Synthetic Aperture Radar (SAR) remote sensing is a useful tool for monitoring earthquake disasters. With the wide ap...
STUDY ON THE CLASSIFICATION OF GAOFEN-3 POLARIMETRIC SAR IMAGES USING DEEP NEURAL NETWORK
SAR Classification Deep Learning GoogLeNet Landcover Gaofen-3 satellite
2018/4/30
Polarimetric Synthetic Aperture Radar（POLSAR） imaging principle determines that the image quality will be affected by speckle noise. So the recognition accuracy of traditional image classification met...
THE LOW BACKSCATTERING OBJECTS CLASSIFICATION IN POLSAR IMAGE BASED ON BAG OF WORDS MODEL USING SUPPORT VECTOR MACHINE
Low Backscattering Objects Bag of Words SIFT features Support Vector Machine
2018/4/30
Due to the forward scattering and block of radar signal, the water, bare soil, shadow, named low backscattering objects (LBOs), often present low backscattering intensity in polarimetric synthetic ape...
A NEW APPROACH FOR ACCURACY IMPROVEMENT OF PULSED LIDAR REMOTE SENSING DATA
Time interval measurement Pulsed lidar Data quality Capacitor charge Voltage curve Remote sensing
2018/4/30
In remote sensing applications, the accuracy of time interval measurement is one of the most important parameters that affect the quality of pulsed lidar data. The traditional time interval measuremen...