搜索结果: 1-7 共查到“测绘科学技术 Field model”相关记录7条 . 查询时间(0.203 秒)
Multispectral IKONOS Image Segmentation Based on Vector Field Model
Land Cover Segmentation Image Processing Automation Feature Extraction Quickbird
2015/12/17
Image segmentation is a valuable approach that performs an object-based rather than a pixel-based analysis of high-spatial resolution satellite image. A multiscale approach for segmenting the pan-shar...
Geometric Refinement of LIDAR Roof Contours Using Photogrammetric Data and Markov Random Field Model
Digital Photogrammetry Building Reconstruction Spatial Analysis
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...
Extraction of Main and Secondary Roads in VHR Images Using A Higher-Order Phase Field Model
Road Urban Satellite Segmentation Modelling Variational methods
2015/12/4
This paper addresses the issue of extracting main and secondary road networks in dense urban areas from very high resolution (VHR, ~0.61m) satellite images. The difficulty with secondary roads lies in...
3D LOCAL NON-UNIFORM FIELD MODEL BASED ON 3D VECTOR MODEL FRAME
3D Local non-uniform Field model Vector model Volume function Analytic model Local raster model
2015/8/10
This paper proposes a model, which is called ‘3D (Three Dimension) local non-uniform field model based on 3D vector model frame’, which integrate ‘3D volume function analytical model’ and ‘ 3D local r...
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
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 two-layer Conditional Random Field model for simultaneous classification of land cover and land use
Contextual classification Conditional Random Fields multi-layer land use classification
2014/9/9
This paper proposes a two-layer Conditional Random Field model for simultaneous classification of land cover and land use. Both classification tasks are integrated into a unified graphical model, whic...
MULTI-SOURCE HIERARCHICAL CONDITIONAL RANDOM FIELD MODEL FOR FEATURE FUSION OF REMOTE SENSING IMAGES AND LIDAR DATA
Feature fusion Conditional Random Field Image Classification Multi-source Data Hierarchical model
2014/4/24
Feature fusion of remote sensing images and LiDAR points cloud data, which have strong complementarity, can effectively play the advantages of multi-class features to provide more reliable information...