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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Low Rank Matrix Recovery for Seismic Data Analysis and Blind Superresolution
地震数据分析 盲超分辨率 低秩 矩阵恢复
2023/4/19
Low rank matrix recovery is about reconstructing a low rank matrix from incomplete measurements. It arises frequently in many research areas of science and engineering, for example, machine learning, ...
Nearly 175 community members joined a town forum Nov. 3, held in person and online, to hear updates on the Cornell University Borehole Observatory – known as CUBO. The observatory represents a major s...
THE DETERMINATION METHOD OF EXTREME EARTHQUAKE DISASTER AREA BASED ON THE DUST DETECTION RESULT FROM GF-4 DATA
Earthquake Extreme Disaster Area Dust GF-4 Remote Sensing
2018/5/11
The remote sensing has played an important role in many earthquake emergencies by rapidly providing the building damage, road damage, landslide and other disaster information. The earthquake in the mo...
SEMI AUTOMATED LAND COVER LAYER UPDATING PROCESS UTILIZING SPECTRAL ANALYSIS AND GIS DATA FUSION
NTDB (National Topographic Data Base), Segmentation, Classification, nDSM, data fusion
2018/5/11
Technological improvements made in recent years of mass data gathering and analyzing, influenced the traditional methods of updating and forming of the national topographic database. It has brought a ...
ROAD DAMAGE EXTRACTION FROM POST-EARTHQUAKE UAV IMAGES ASSISTED BY VECTOR DATA
Road damage extraction Damage assessment Earthquake UAV images Object-oriented classification Threshold detection
2018/5/11
Extraction of road damage information after earthquake has been regarded as urgent mission. To collect information about stricken areas, Unmanned Aerial Vehicle can be used to obtain images rapidly. T...
ESTIMATION OF STATIC COULOMB STRESS CHANGE AND STRONG MOTION SIMULATION FOR JIUZHAIGOU 7.0 EARTHQUAKE BASE ON SENTINEL-1 INSAR DATA INVERSION
InSAR Coulomb Stress Change Slip Inversion Strong Motion Aftershocks Slip Model Jiuzhaigou Earthquake
2018/5/15
On August 8, 2017, an earthquake of M 7.0 occurred at Jiuzhaigou. Based on the Sentinel-1 satellite InSAR data, we obtained coseismic deformation field and inverted the source slip model. Result...
OBJECT-ORIENTED CLASSIFICATION OF LIDAR DATA FOR POST-EARTHQUAKE DAMAGE DETECTION
LiDAR Earthquake Classification Object Oriented Image Analysis Buildings Damage Detection
2018/4/18
The collapse of buildings during the earthquake is a major cause of human casualties. Furthermore, the threat of earthquakes will increase with growing urbanization and millions of people will be vuln...
LANDSLIDE IDENTIFICATION FROM IRS-P6 LISS-IV TEMPORAL DATA-A COMPARATIVE STUDY USING FUZZY BASED CLASSIFIERS
Kashmir earthquake CBSI LISS-IV Vegetation Index Temporal PCM
2018/5/8
While extracting land cover from remote sensing images, each pixel in the image is allocated to one of the possible class. In reality different land covers within a pixel can be found due to continuum...
EFFICIENCY AND EFFECTIVENESS APPROACHES IN SPATIAL DATA COLLECTION OF VRISA AFTER LESVOS EARTHQUAKE
Efficiency effectiveness spatial data collection spatial data management
2018/4/18
Efficient and effective spatial data collection is crucial in cases of catastrophic events. Resources efficiency and project effectiveness are two aspects that need special attention especially when t...
EFFICIENCY AND EFFECTIVENESS APPROACHES IN SPATIAL DATA COLLECTION OF VRISA AFTER LESVOS EARTHQUAKE
Efficiency effectiveness spatial data collection spatial data management
2018/5/8
Efficient and effective spatial data collection is crucial in cases of catastrophic events. Resources efficiency and project effectiveness are two aspects that need special attention especially when t...
DEVELOPING SEISMIC INTENSITY MAPS FROM TWITTER DATA; THE CASE STUDY OF LESVOS, GREECE 2017 EARTHQUAKE: ASSESSMENTS, IMPROVEMENTS AND ENRICHMENTS ON THE METHODOLOGY
seismic intensity twitter volunteered geographic information VGI
2018/4/18
This article presents an effort to validate and further improve a previously published innovative approach for drawing macroseismic intensity maps from data extracted from sources of volunteered geogr...
DEVELOPING SEISMIC INTENSITY MAPS FROM TWITTER DATA; THE CASE STUDY OF LESVOS, GREECE 2017 EARTHQUAKE: ASSESSMENTS, IMPROVEMENTS AND ENRICHMENTS ON THE METHODOLOGY
seismic intensity twitter volunteered geographic information VGI
2018/5/8
This article presents an effort to validate and further improve a previously published innovative approach for drawing macroseismic intensity maps from data extracted from sources of volunteered geogr...
oint Inversion of the 3D P Wave Velocity Structure of the Crust and Upper Mantle under the Southeastern Margin of the Tibetan Plateau Using Regional Earthquake and Teleseismic Data
3D P-wave velocity structure China seismic array detection Panxi region Chuan-Dian Block Daliangshan Block southeastern margin of Qinghai–Tibet Plateau
2018/4/10
The special seismic tectonic environment and frequent seismicity in the southeastern margin of the Qinghai–Tibet Plateau show that this area is an ideal location to study the present tectonic movement...
Data mining finds more than expected beneath Andean Plateau（图）
data mining more than expected andean plateau
2017/9/5
Seismologists investigating how Earth forms new continental crust have compiled more than 20 years of seismic data from a wide swath of South America’s Andean Plateau and determined that processes the...
After the Quake–Data Can Help Predict Consequences of the Next Event
After the Quake Data Predict Consequences Next Event
2016/8/1
Later this year, seismology geophysicist Steve Roecker will travel to Illapel, Chile, to remove instruments which have been tracking the struggle between two tectonic plates that caused a magnitude 8....