搜索结果: 1-15 共查到“测绘科学技术 sensing data”相关记录115条 . 查询时间(0.328 秒)
LAND USE CLASSIFICATION FROM COMBINED USE OF REMOTE SENSING AND SOCIAL SENSING DATA
Human Behavior Social Sensing Remote Sensing Decision Tree Geographic Information System Accuracy Assessment
2018/11/9
Large amounts of data can be sensed and analyzed to discover patterns of human behavior in cities for the benefit of urban authorities and citizens, especially in the areas of traffic forecasting, urb...
AUTOMATIC EXTRACTION OF URBAN BUILT-UP AREA BASED ON OBJECT-ORIENTED METHOD AND REMOTE SENSING DATA
Urban built-up area Construction land Object-oriented method Remote sensing Automatic extraction
2018/5/14
Built-up area marks the use of city construction land in the different periods of the development, the accurate extraction is the key to the studies of the changes of urban expansion. This paper studi...
REMOTE SENSING DATA FUSION TO DETECT ILLICIT CROPS AND UNAUTHORIZED AIRSTRIPS
Remote sensing Data fusion Illicit crops Unauthorized Airstrip
2018/5/15
Remote sensing data fusion has been playing a more and more important role in crop planting area monitoring, especially for crop area information acquisition. Multi-temporal data and multi-spectral ti...
SEA ICE THICKNESS MEASUREMENT BY GROUND PENETRATING RADAR FOR GROUND TRUTH OF MICROWAVE REMOTE SENSING DATA
Sea ice thickness measurement, Microwave remote sensing Ground truth Ground Penetrating Radar Brackish lake Finite-Difference Time-Domain method Dielectric constant
2018/5/15
Observation of sea ice thickness is one of key issues to understand regional effect of global warming. One of approaches to monitor sea ice in large area is microwave remote sensing data analysis. How...
CROWN-LEVEL TREE SPECIES CLASSIFICATION USING INTEGRATED AIRBORNE HYPERSPECTRAL AND LIDAR REMOTE SENSING DATA
Tree species classification Crown-scale spectral Crown-scale structure LiDAR Hyperspectral
2018/5/17
Mapping tree species is essential for sustainable planning as well as to improve our understanding of the role of different trees as different ecological service. However, crown-level tree species aut...
ESTIMATING GROSS PRIMARY PRODUCTION IN CROPLAND WITH HIGH SPATIAL AND TEMPORAL SCALE REMOTE SENSING DATA
Cropland GOES-13 geostationary Gross Primary Production Landsat NDV MODIS NDVI/EVI product carbon cycle Photosynthesis active radiation (PAR)
2018/5/15
Satellite remote sensing data provide spatially continuous and temporally repetitive observations of land surfaces, and they have become increasingly important for monitoring large region of vegetatio...
EMERGENCY RESCUE MANAGEMENT SUPPORTED BY UAV REMOTE SENSING DATA
crisis management levee monitoring remote sensing UAV data automatic orthomosaics
2018/5/8
In the proposed SAFEDAM system, aerial and satellite-based information is used for the monitoring of river bodies, flood monitoring during the event, and for post-disaster damage assessment. UAV const...
BUILDING EXTRACTION FROM REMOTE SENSING DATA USING FULLY CONVOLUTIONAL NETWORKS
deep learning DSM fully convolutional networks building footprint binary classification fully connected CRF
2017/7/13
Building detection and footprint extraction are highly demanded for many remote sensing applications. Though most previous works have shown promising results, the automatic extraction of building foot...
PROCESSING BIG REMOTE SENSING DATA FOR FAST FLOOD DETECTION IN A DISTRIBUTED COMPUTING ENVIRONMENT
Distributed Computing Geospatial Big Data Cloud Computing Fast Flood detection Big Earth Observation Data
2017/8/10
The Earth observation (EO) missions of the space agencies and space industry (ESA, NASA, national and commercial companies) are evolving as never before. These missions aim to develop and launch next-...
CHARACTERISTICS OF THE REMOTE SENSING DATA USED IN THE PROPOSED UNFCCC REDD+FOREST REFERENCE EMISSION LEVELS (FRELS)
Earth observation climate change land-use change REDD+ forest carbon inventory national forest monitoring system deforestation forest degradation
2016/11/30
Developing countries must submit forest reference emission levels (FRELs) to the UNFCCC to receive incentives for REDD+ activities (e.g. reducing emissions from deforestation/forest degradation, susta...
GOLD MINERAL PROSPECTING USING PHASED ARRAY TYPE L-BAND SYNTHETIC APERTURE RADAR (PALSAR) SATELLITE REMOTE SENSING DATA,CENTRAL GOLD BELT,MALAYSIA
Gold prospecting PALSAR Bentong-Raub Suture Zone Peninsular Malaysia tropical environments
2016/11/30
The Bentong-Raub Suture Zone (BRSZ) of Peninsular Malaysia is one of the significant structural zones in Sundaland, Southeast Asia. It forms the boundary between the Gondwana-derived Sibumasu terrane ...
APPLICATION OF PALSAR-2 REMOTE SENSING DATA FOR LANDSLIDE HAZARD MAPPING IN KELANTAN RIVER BASIN,PENINSULAR MALAYSIA
PALSAR-2 Landslide hazard mapping Kelantan River basin Peninsular Malaysia
2016/11/30
Yearly, several landslides ensued during heavy monsoons rainfall in Kelantan river basin, peninsular Malaysia, which are obviously connected to geological structures and topographical features of the ...
LANDSLIDES EXTRACTION FROM DIVERSE REMOTE SENSING DATA SOURCES USING SEMANTIC REASONING SCHEME
Landslides Extraction Semantic Reasoning High Resolution Imagery First Order Logic Disaster Management Prover9
2016/11/30
Using high resolution satellite imagery to detect, analyse and extract landslides automatically is an increasing strong support for rapid response after disaster. This requires the formulation of proc...
SINGLE-IMAGE SUPER RESOLUTION FOR MULTISPECTRAL REMOTE SENSING DATA USING CONVOLUTIONAL NEURAL NETWORKS
Single-Image Super Resolution Deep Learning Convolutional Neural Networks Sentinel-2
2016/7/28
In optical remote sensing, spatial resolution of images is crucial for numerous applications. Space-borne systems are most likely to be affected by a lack of spatial resolution, due to their natural d...
Automatic classification of remote sensing data for GIS database revision
Automatic classification remote sensing data GIS database revision
2016/5/23
Geographic information systems (GIS) are dependent on accurate and up-to-date data sets. The manual revision of GIS data is very cost and time consuming. On the other hand more and more high resolutio...