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中国科学院信息工程研究所信息安全国家重点实验室操晓春研究员当选为CCF-A类学术期刊 IEEE Transactions on Image Processing 高级领域编辑（Senior Area Editor）
中国科学院信息工程研究所 信息安全 操晓春 研究员 CCF-A类 学术期刊
2019/9/18
2019年8月15日,信息安全国家重点实验室操晓春研究员当选为CCF-A类学术期刊，IEEE Transactions on Image Processing高级领域编辑 (Senior Area Editor)，任期3年，全球共31人（大陆地区共两人）。此前，他任职该期刊编委4年，期间获评"outstanding editorial board service"。
MEASUREMENT OF SEAWARD GROUND DISPLACEMENTS ON COASTAL LANDFILL AREA USING RADAR INTERFEROMETRY
SAR SAR Interferometry Multiple-Aperture SAR Interferometry Coastal landfill Three-dimensional measurements
2018/5/11
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)...
2018年第四届信息价值管理国际研讨会（4th International Workshop on Information Value Management - Challenges in an Area of Digitalisation and Big Data - IVM 2018）
2018年 第四届 信息价值管理 国际研讨会
2018/1/15
Recent advances in technology such as Internet of Things, Analytics and Big Data lead not only a technology revolution but also offer a magnitude of business benefits. With the arrival of Industry 4.0...
ESTIMATING VERTICAL LEAF AREA DENSITY PROFILES OF TREE CANOPIES USING THREE-DIMENSIONAL PORTABLE LIDAR IMAGING
Broad leaf Canopy Leaf area density Lidar Point cloud 3D Voxel
2016/2/29
In this paper, a new method for estimation of vertical leaf area density (LAD) profile of tree canopy using portable scanning lidar is
proposed. In this method, which we refer to as the voxel-based ...
AUTOMATIC ROAD EXTRACTION FROM LIDAR DATA BASED ON CLASSIFIER FUSION IN URBAN AREA
LIDAR Road Extraction Classifier Fusion Classifier selection Genetic Algorithm
2016/2/29
LIDAR is a powerful remote sensing technology for acquisition of 3D information from terrain surface. Algorithms used for LIDAR
data in urban area are used mostly to deal with the 3D points cloud an...
Classification of LIDAR Point Cloud and Generation of DTM from LIDAR Height and Intensity Data In Forested Area
LIDAR Intensity Skewness Point Cloud DTM Forested Areas
2015/12/8
LIDAR (Light Detection And Ranging) is a mature remote sensing technology which can provide accurate elevation data for both topographic surfaces and above-ground objects. Derivation of accurate digit...
An Automatic Method Based on Gridding Segmentation for Trees' Classification in Forested Area
LIDAR Automatic Classification Gridding Segmentation
2015/12/8
In forestry applications, the great challenge is to automatically extract as much information as possible on forest structure, the vertical and horizontal distribution of vegetation, the delineation o...
An Evaluation on the Data Quality of Srtm DEM at the Alpine and Plateau area, North-Western of China
DEM Shuttle Radar Topographic Mission (SRTM) evaluation Inferometric SAR (InSAR) land cover
2015/11/23
This paper evaluates the quality of SRTM3 data for alpine and plateau areas in Northwestern (NW) China against DEM data extracted from topographic maps. These SRTM data were obtained from both the ESR...
A Comparison of Estimating Forest Canopy Height Integrating Multi-sensor data Synergy--A Case Study in Mountain Area of Three Gorges
Forest Canopy Height, Lidar Multisensor Integration Three Gorges Spatial models
2015/11/20
Forest canopy height is an important input for ecosystem and highly correlated with aboveground biomass at the landscape scale. In this paper, we make efforts to extracte the maximum canopy height usi...
Methodology of 3D Digital Survey Operations and Data Processing According to Architectonic Investigations in Archaeological Area
Cultural Heritage LIDAR Acquisition Processing Interpretation
2015/11/13
Purpose: This is a presentation of same case studies conducted by our survey lab on some archaeological monuments. The main objective is to underline the general rules that guide 3D digital survey ope...
A CMOS Area Image Sensor with Pixel-Level A/D Conversion
CMOS Area Image Sensor Pixel-Level A/D Conversion
2015/8/14
A CMOS Area Image Sensor with Pixel-Level A/D Conversion.
PLA-based FPGA Area versus Cell Granularity.
AUTOMATIC ROAD EXTRACTION FROM DENSE URBAN AREA BY INTEGRATED PROCESSING OF HIGH RESOLUTION IMAGERY AND LIDAR DATA
Extraction Road Multisensor High Resolution
2015/6/1
Automated and reliable 3D city model acquisition is an increasing demand. Automatic road extraction from dense urban areas is a
challenging issue due to the high complex image scene. From imagery, t...
Automatic Classification of coarse density LiDAR data in urban area
LIDAR Vehicle Classification Airborne Urban PCA NDSM DTM
2014/7/30
The classification of different objects in the urban area using airborne LIDAR point clouds is a challenging problem especially with low density data. This problem is even more complicated if RGB info...
New weather radar network in Dallas area to provide more frequent, precise storm data（图）
Dallas area New weather radar precise storm
2014/3/20
The Dallas-Fort Worth area becomes first in the nation to host this next generation of small, near-surface, fine-scale, rapidly updating weather radar developed by researchers at the Center for Collab...