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ANALYSIS OF THE IMAGE QUALITY OF NO GROUND CONTROLLED POSITIONING PRECISION ABOUT SURVEYING AND MAPPING SATELLITE
Positioning accuracy Modulation Transfer Function Signal to Noise Ratio Quantization Bits degradation data
2018/5/15
The image quality of the surveying camera will affect the stereoscopic positioning accuracy of the remote sensing satellite. The key factors closely related to the image quality are Modulation Transfe...
SNOW COVER MAPPING AND ICE AVALANCHE MONITORING FROM THE SATELLITE DATA OF THE SENTINELS
Snow Cover Ice Avalanche Sentinels
2018/5/15
In order to monitor ice avalanches efficiently under disaster emergency conditions, a snow cover mapping method based on the satellite data of the Sentinels is proposed, in which the coherence and bac...
SENTINEL-1 AND SENTINEL-2 DATA FUSION FOR WETLANDS MAPPING: BALIKDAMI, TURKEY
Image Fusion Sentinel-1 Sentinel-2 Wetlands Object-Based Classification
2018/5/14
Wetlands provide a number of environmental and socio-economic benefits such as their ability to store floodwaters and improve water quality, providing habitats for wildlife and supporting biodiversity...
FLOOD EXTENT MAPPING USING DUAL-POLARIMETRIC SENTINEL-1 SYNTHETIC APERTURE RADAR IMAGERY
Flood Polarimetry SAR Radar Harvey Sentinel-1
2018/5/14
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...
EXPLORING CAPABILITIES OF SENTINEL-2 FOR VEGETATION MAPPING USING RANDOM FOREST
Vegetation mapping Sentinel-2 Landsat-8 OLI Random Forest Maximum Likelihood Classifier
2018/5/15
Accurate vegetation mapping is essential for monitoring crop and sustainable agricultural practice. This study aims to explore the capabilities of Sentinel-2 data over Landsat-8 Operational Land Image...
LANDSLIDE INVENTORY MAPPING FROM BITEMPORAL 10 m SENTINEL-2 IMAGES USING CHANGE DETECTION BASED MARKOV RANDOM FIELD
Landslide Inventory Mapping Change Detection Normalized Difference Vegetation Index Principal Component Analysis Markov Random Field Sentinel-2 Images
2018/5/15
Landslide inventory mapping is essential for hazard assessment and mitigation. In most previous studies, landslide mapping was achieved by visual interpretation of aerial photos and remote sensing ima...
INTEGRATING DEPTH AND IMAGE SEQUENCES FOR PLANETARY ROVER MAPPING USING RGB-D SENSOR
RGB-D camera Depth Planetary Rover Mapping Bundle Adjustment Point Cloud
2018/5/15
RGB-D camera allows the capture of depth and color information at high data rates, and this makes it possible and beneficial integrate depth and image sequences for planetary rover mapping. The propos...
EARTHQUAKE BUILDING DAMAGE MAPPING BASED ON FEATURE ANALYZING METHOD FROM SYNTHETIC APERTURE RADAR DATA
Building Damage Assessment Earthquake Emergency Feature Analysing SAR
2018/5/11
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...
CHINA’S MISSION IN SURVEYING，MAPPING AND GEOGRAPHIC INFORMATION DURING GLOBAL GOVERNANCE
Global Governance Global Geographic Information Resource Public Goods Scientific and Technological Assistance
2018/5/14
In the new era, it is proposed that China should be transformed from a participant and a cooperator into a designer, an impeller and a leader, continue taking an effect of responsible great power, inc...
COMPILING TECHNIQUES FOR EAST ANTARCTIC ICE VELOCITY MAPPING BASED ON HISTORICAL OPTICAL IMAGERY
East Antarctica Ice Flow Velocity Optical Images Mapping
2018/5/17
Ice flow velocity over long time series in East Antarctica plays a vital role in estimating and predicting the mass balance of Antarctic Ice Sheet and its contribution to global sea level rise. Howeve...
AN ISOMETRIC MAPPING BASED CO-LOCATION DECISION TREE ALGORITHM
Decision tree (DT) Co-location (Cl) Data mining Isometric mapping (Isomap) Geodetic distances Algorithm
2018/5/17
Decision tree (DT) induction has been widely used in different pattern classification. However, most traditional DTs have the disadvantage that they consider only non-spatial attributes (ie, spectral ...
WATER MAPPING USING MULTISPECTRAL AIRBORNE LIDAR DATA
Land Cover Classification Multispectral LiDAR Optech Titan Point Cloud Processing SLIER
2018/5/16
This study investigates the use of the world’s first multispectral airborne LiDAR sensor, Optech Titan, manufactured by Teledyne Optech to serve the purpose of automatic land-water classification with...
MAPPING WETLANDS OF DONGTING LAKE IN CHINA USING LANDSAT AND SENTINEL-1 TIME SERIES AT 30M
Wetlands Landsat Sentinel-1 Time series Dongting Lake SVM
2018/5/16
Mapping and monitoring wetlands of Dongting lake using optical sensor data has been limited by cloud cover, and open access Sentinal-1 C-band data could provide cloud-free SAR images with both have hi...
MAPPING VIS AND UVL IMAGERY ON 3D GEOMETRY FOR NON-INVASIVE, NON-CONTACT ANALYSIS OF A VASE
Ultraviolet-induced luminescence multispectral imaging 3D modelling non-invasive analysis fringe projection photogrammetry dense matching cultural heritage
2018/6/4
The paper presents an investigation about the combination of multispectral and 3D imaging aiming at the analysis of the condition and preservation of an ancient vase. Visible-reflected (VIS) and -indu...
CLASSIFICATION OF POLE-LIKE OBJECTS USING POINT CLOUDS AND IMAGES CAPTURED BY MOBILE MAPPING SYSTEMS
Mobile Mapping System Point-Cloud Pole-Like Object Machine Learning Convolutional Neural Network
2018/6/4
The vehicle-based mobile mapping system (MMS) is effective for capturing 3D shapes and images of roadside objects. The laser scanner and cameras on the MMS capture point-clouds and sequential digital ...