搜索结果: 1-15 共查到“工学 data fusion”相关记录74条 . 查询时间(0.093 秒)
DEFINING GEOSPATIAL DATA FUSION METHODS BASED ON TOPOLOGICAL RELATIONSHIPS
Geospatial Data Fusion Topological Data Model 3D GIS Anchor Node IndoorGML
2018/11/9
Currently, geospatial datasets are produced in various models and formats in accordance with the spatial scale of the real world such as ground/ surface/underground or indoor/outdoor. The location-bas...
GROUNDING LINES DETECTING USING LANDSAT8 OLI AND CRYOSAT-2 DATA FUSION
Grounding line Landsat8 OLI Cryosat-2 K-means Slope Merge
2018/5/14
The grounding zone is the region where ice transitions from grounded ice sheet to freely floating ice shelf, grounding lines are actually more of a zone, typically over several kilometers. The mass lo...
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...
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...
A COMPARATIVE ANALYSIS OF SPATIOTEMPORAL DATA FUSION MODELS FOR LANDSAT AND MODIS DATA
Surface Reflectance Remote Sensing Coleambally Landsat-like STI-FM
2018/5/14
In this study, three documented spatiotemporal data fusion models were applied to Landsat-7 and MODIS surface reflectance, and NDVI. The algorithms included the spatial and temporal adaptive reflectan...
MULTI-MODAL REMOTE SENSING DATA FUSION FRAMEWORK
Deep Learning Convolutional Neural Networks Super resolution Crowd-sourced data Data fusion
2017/8/10
The inconsistency between the freely available remote sensing datasets and crowd-sourced data from the resolution perspective forms a big challenge in the context of data fusion. In classical classifi...
2017年影像与数据融合国际研讨会（The 2017 International Workshop on Image and Data Fusion）
2017年 影像与数据融合 国际研讨会
2017/4/26
With increasing amounts of data collected from satellite, airborne, and ground based imaging systems, image and data fusion techniques are gaining more and more importance. By the integration of multi...
2017物联网数据融合专题会议（Special Session On Data Fusion in the Internet of Things）(DF-IoT)
物联网数据融合 专题会议
2017/3/30
The recent technological advances in computer and communication technologies have been fostering an enormous growth in the number of smart objects available for usage. The integration of these smart o...
The 2017 International Workshop on Image and Data Fusion
The 2017 International Workshop Image and Data Fusion
2017/3/29
With increasing amounts of data collected from satellite, airborne, and ground based imaging systems, image and data fusion techniques are gaining more and more importance. By the integration of multi...
REMOTELY SENSED DATA FUSION IN MODERN AGE ARCHAEOLOGY AND MILITARY HISTORICAL RECONSTRUCTION
LiDAR remote sensing GIS archaeology military historical reconstruction
2016/11/11
LiDAR technology has become one of the major remote sensing methods in the last few years. There are several areas, where the scanned 3D point clouds can be used very efficiently. In our study we revi...
An approach to monitoring performance of geo-coded multisensor data fusion system
approach monitoring performance geo-coded multisensor data fusion system
2016/5/23
Performance monitoring of data fusion system of geo-coded multisensor involves monitoring the activity of the system,making management decisions and performing maintenance actions to reduce the influe...
Optical and radar data fusion for DEM generation
DEM generation SAR Interferometry Phase Unwrapping SPOT Stereoscopy Data Fusion
2016/5/20
This paper presents a DEM generation procedure based on optical (SPOT stereo) and radar (InSAR, interferometric SAR) data. The first part of the paper is focused on InSAR. The second one is concerned ...
UAV-BASED MULTI-SENSOR DATA FUSION FOR TIME-CRITICAL DISASTER RESPONSE
UAV Data Fusion Disaster Response Video Flow Real-time
2016/3/17
We present a mathematical model for a UAV-based, multi-sensor data integration. As a background, we first discuss the design and the implementation of a low-cost civilian UAV system, including its fie...
STUDY ON DATA FUSION METHODS WITH OPTIMAL INFORMATION PRESERVATION BETWEEN SPECTRAL AND SPATIAL BASED ON HIGH RESOLUTION IMAGERY
Image processing Integration Image understanding Fusion Geography Method IKONOS Quickbird
2015/12/31
Data fusion methods are often employed to balance contradiction between spectral information and spatial information of remotely sensed images. The fused images formed by an effective data fusion meth...
DATA FUSION OF MULTI-SOURCE REMOTE SENSING BASED ON LEVEL SET METHOD AND APPLICATION TO URBAN ROAD EXTRACTION
Urban Multisensor Fusion Algorithms Semi-automation Extraction
2015/12/31
Using data fusion of multi-spectral and microwave radar images, a semiautomatic method is developed based on the level set method for application to urban road extraction. The fast marching method of ...