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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...
CHANGE DETECTION OF HIGH-RESOLUTION REMOTE SENSING IMAGES BASED ON ADAPTIVE FUSION OF MULTIPLE FEATURES
Change Detection Color Gistogram Linear Gradient Histogram EMD distance Histogram Curvature
2018/5/15
In view of the traditional change detection algorithm mainly depends on the spectral information image spot, failed to effectively mining and fusion of multi-image feature detection advantage, the art...
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...
RESEARCH ON REMOTE SENSING IMAGE CLASSIFICATION BASED ON FEATURE LEVEL FUSION
Remote sensing image fusion Remote sensing image classification Feature level Sentinel-1A Landsat8 OLI
2018/5/16
Remote sensing image classification, as an important direction of remote sensing image processing and application, has been widely studied. However, in the process of existing classification algorithm...
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...
FUSION OF TLS AND UAV PHOTOGRAMMETRY DATA FOR POST-EARTHQUAKE 3D MODELING OF A CULTURAL HERITAGE CHURCH
TLS UAV photogrammetry data fusion 3D modeling post-earthquake heritage
2018/4/18
Nowadays, the necessity of heritage documentation is essential for monitoring, maintenance, and understanding needed for conservation. The survey phase has been considerably improved using cutting-edg...
FUSION OF TLS AND UAV PHOTOGRAMMETRY DATA FOR POST-EARTHQUAKE 3D MODELING OF A CULTURAL HERITAGE CHURCH
TLS UAV photogrammetry data fusion 3D modeling post-earthquake heritage
2018/5/8
Nowadays, the necessity of heritage documentation is essential for monitoring, maintenance, and understanding needed for conservation. The survey phase has been considerably improved using cutting-edg...
A DETECTION METHOD OF ARTIFICIAL AREA FROM HIGH RESOLUTION REMOTE SENSING IMAGES BASED ON MULTI SCALE AND MULTI FEATURE FUSION
Artificial Areas Automatic Detection Geometric Features Visual Saliency Features Multi Scale Feature Fusion
2017/7/12
In order to solve the problem of automatic detection of artificial objects in high resolution remote sensing images, a method for detection of artificial areas in high resolution remote sensing images...
A TWO-STEP DECISION FUSION STRATEGY: APPLICATION TO HYPERSPECTRAL AND MULTISPECTRAL IMAGES FOR URBAN CLASSIFICATION
Decision fusion Optimization Graphical model Hyperspectral Multispectral Urban classification
2017/7/12
Very high spatial resolution multispectral images and lower spatial resolution hyperspectral images are complementary sources for urban object classification. The first enables a fine delineation of o...
SAR AND OBLIQUE AERIAL OPTICAL IMAGE FUSION FOR URBAN AREA IMAGE SEGMENTATION
Remote Sensing Urban Area Image Fusion Image Segmentation SAR RGB Image
2017/7/13
The fusion of synthetic aperture radar (SAR) and optical data is a dynamic research area, but image segmentation is rarely treated. While a few studies use low-resolution nadir-view optical images, we...
A MULTI-RESOLUTION FUSION MODEL INCORPORATING COLOR AND ELEVATION FOR SEMANTIC SEGMENTATION
Semantic Segmentation Convolutional Networks Multi-modal Dataset Fusion Nets
2017/7/13
In recent years, the developments for Fully Convolutional Networks (FCN) have led to great improvements for semantic segmentation in various applications including fused remote sensing data. There is,...
UNCERTAINTY ASSESSMENT AND WEIGHT MAP GENERATION FOR EFFICIENT FUSION OF TANDEM-X AND CARTOSAT-1 DEMS
Accuracy assessment Data fusion Predicted weight map Artificial Neural Network TanDEM-X DEM Cartosat-1 DEM
2017/7/13
Recently, with InSAR data provided by the German TanDEM-X mission, a new global, high-resolution Digital Elevation Model (DEM) has been produced by the German Aerospace Center (DLR) with unprecedented...
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...
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...