搜索结果: 1-15 共查到“测绘科学技术 Markov”相关记录19条 . 查询时间(0.158 秒)
HIGH-RESOLUTION REMOTE SENSING IMAGE BUILDING EXTRACTION BASED ON MARKOV MODEL
Markov Model Contourlet Transform Map Clustering Spectral Feature Index Building Extraction High Resolution Remote Sensing Image
2018/5/17
With the increase of resolution, remote sensing images have the characteristics of increased information load, increased noise, more complex feature geometry and texture information, which makes the e...
BUILDING ROOF BOUNDARY EXTRACTION FROM LiDAR AND IMAGE DATA BASED ON MARKOV RANDOM FIELD
Markov Random Field LiDAR Aerial images Building roof boundary
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...
LAND USE/LAND COVER CHANGES IN SEMI-ARID MOUNTAIN LANDSCAPE IN SOUTHERN INDIA: A GEOINFORMATICS BASED MARKOV CHAIN APPROACH
Land cover Markov Kallar NDVI Drought Geoinformatics
2017/7/12
Nowadays land use/ land cover in mountain landscape is in critical condition; it leads to high risky and uncertain environments. These areas are facing multiple stresses including degradation of land ...
ANALYSIS AND VALIDATION OF GRID DEM GENERATION BASED ON GAUSSIAN MARKOV RANDOM FIELD
DEM Gaussian Markov Random Field Spatial Modelling
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...
DYNAMIC CHANGE MONITORING OF FOREST RESOURCE BY USING REMOTE SENSING AND MARKOV PROCESS IN LOESS PLATEAU OF CHINA
Multi-Spectral Remote Sensing Change Detection Image Understanding Spatial Analysis Forestry Markov Process Dynamic Monitoring
2015/12/31
This study applies remote sensing technology combined with Markov Process to monitor and forecast the dynamic change of forest resource in Chinese Loess Plateau. At first, according to the dynamic cha...
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
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
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...
Markov Random Fields (MRF) - Based Texture Segmentation for Road Detection
Mapping Photogrammetry Vision Fusion Identification Monitoring Real-time Platforms
2015/12/9
Traffic observation from airplane platforms using digital cameras is a fairly new application of Video Image Detection Systems (VIDS). These systems are also particularly interesting for observations ...
Markov Random Field for Road Extraction Applications in Remote Sensing Images
Markov Random Field Bayesian Estimation Road Segmentation
2015/12/4
Bayesian methods coupled with Markovian frameworks has several applications in remote sensing images processing, such as the pixel level applications like filtering, segmentation and classification, a...
Generative Models and Markov Chain Monte Carlo Techniques for Detection and Reconstruction of Stairs from 2D Point Clouds
Building Stairs Detection Reconstruction Markov Chain Monte Carlo MAP Estimation Generative Model Point Cloud
2015/10/12
The paper describes an approach for the automatical reconstruction of homogeneous straight stairs from point cloud data by using a
generative model and Markov Chain Monte Carlo techniques for estima...
SAR-based change detection using hypothesis testing and Markov random field modelling
Three-Class Change Detection Synthetic Aperture Radar (SAR)
2015/5/7
The objective of this study is to automatically detect changed areas caused by natural disasters from bi-temporal co-registered and calibrated TerraSAR-X data. The technique in this paper consists o...
A STEP TOWARDS SEMANTIC-BASED BUILDING RECONSTRUCTION USING MARKOV-RANDOM-FIELDS
Building reconstruction Digital surface models Markov-Random-Fields Topology
2014/12/31
In this paper we describe a new concept for the reconstruction of buildings. In contrast to most of the published approaches, we link the reconstruction process with the building interpretation. With ...
THE DECISION OF THE OPTIMAL PARAMETERS IN MARKOV RANDOM FIELDS OF IMAGES BY GENETIC ALGORITHM
Genetic algorithm Markov Random Field Parameter optimum Texture classification
2014/12/31
This paper introduces the principle of genetic algorithm and the basic method of solving Markov Random Field parameters. Focusing on the shortcoming in present methods, a new method based on genetic a...
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 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
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...