搜索结果: 1-7 共查到“摄影测量与遥感技术 markov random field”相关记录7条 . 查询时间(0.093 秒)
BUILDING ROOF BOUNDARY EXTRACTION FROM LiDAR AND IMAGE DATA BASED ON MARKOV RANDOM FIELD
Markov Random Field LiDAR Aerial images Building roof boundary
font style='font-size:12px;'>
2017/7/12
In this paper a method for automatic extraction of building roof boundaries is proposed, which combines LiDAR data and highresolution aerial images. The proposed method is based on three steps. In the...
ANALYSIS AND VALIDATION OF GRID DEM GENERATION BASED ON GAUSSIAN MARKOV RANDOM FIELD
DEM Gaussian Markov Random Field Spatial Modelling
font style='font-size:12px;'>
2016/7/8
Digital Elevation Models (DEMs) are considered as one of the most relevant geospatial data to carry out land-cover and land-use classification. This work deals with the application of a mathematical f...
ANALYSIS OF THE EFFECTIVENESS OF SPECTRAL MIXTURE ANALYSIS AND MARKOV RANDOM FIELD BASED SUPER RESOLUTION MAPPING OVER AN URBAN ENVIRONMENT
Hyperspectral Images Spectral Mixture Analysis Markov Random Field Simulated annealing Super Resolution Mapping
font style='font-size:12px;'>
2015/12/31
The information in a pixel of satellite data within the instantaneous Field of View (IFOV) of the sensor is a mixture of different land cover types, and the individual land cover components can be est...
Geometric Refinement of LIDAR Roof Contours Using Photogrammetric Data and Markov Random Field Model
Digital Photogrammetry Building Reconstruction Spatial Analysis
font style='font-size:12px;'>
2015/12/16
In this paper, a methodology is proposed for the geometric refinement of LiDAR building roof contours using high-resolution aerial images and Markov Random Field (MRF) models. The proposed methodology...
AUTOMATIC RECOGNITION OF CIVIL INFRASTRUCTURE OBJECTS IN MOBILE MAPPING IMAGERY USING A MARKOV RANDOM FIELD MODEL
Markov Chain Monte Carlo Gibbs distribution Object Recognition Color Image
font style='font-size:12px;'>
2014/12/30
Information technology is increasingly used to support civil infrastructure systems that are large, complex heterogeneous, and distributed. These dynamic systems include communication systems, roads, ...
A COMPARATIVE STUDY BETWEEN PAIR-POINT CLIQUE AND MULTI-POINT CLIQUE MARKOV RANDOM FIELD MODELS FOR LAND COVER CLASSIFICATION
Image Classification Spatial Dependence Markov Random Field Pixel Interaction Parameter Estimation
font style='font-size:12px;'>
2014/4/24
Markov random field (MRF) is an effective method for description of local spatial-temporal dependence of image and has been
widely used in land cover classification and change detection. However, ex...
A JOINT PIXEL AND REGION BASED MULTISCALE MARKOV RANDOM FIELD FOR IMAGE CLASSIFICATION
Image segmentation Region based MRF Pixel based MRF High resolution image Multiscale analysis Watershed transform
font style='font-size:12px;'>
2014/4/28
MRF model is recognized as one of efficient tools for image classification. However, traditional MRF model prove to be limited for high resolution image classification. This paper presents a joint pix...