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LANDSLIDE INVENTORY MAPPING FROM BITEMPORAL 10 m SENTINEL-2 IMAGES USING CHANGE DETECTION BASED MARKOV RANDOM FIELD
Landslide Inventory Mapping Change Detection Normalized Difference Vegetation Index Principal Component Analysis Markov Random Field Sentinel-2 Images
2018/4/30
Landslide inventory mapping is essential for hazard assessment and mitigation. In most previous studies, landslide mapping was achieved by visual interpretation of aerial photos and remote sensing ima...
BUILDING ROOF BOUNDARY EXTRACTION FROM LiDAR AND IMAGE DATA BASED ON MARKOV RANDOM FIELD
Markov Random Field LiDAR Aerial images Building roof boundary
2017/5/31
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...
A METHOD TO ESTIMATE TEMPORAL INTERACTION IN A CONDITIONAL RANDOM FIELD BASED APPROACH FOR CROP RECOGNITION
Conditional Random Fields Crop Recognition Multitemporal Image Analysis
2016/11/23
This paper presents a method to estimate the temporal interaction in a Conditional Random Field (CRF) based approach for crop recognition from multitemporal remote sensing image sequences. This approa...
EFFICIENT SEMANTIC SEGMENTATION OF MAN-MADE SCENES USING FULLY-CONNECTED CONDITIONAL RANDOM FIELD
Man-made Scene Semantic Segmentation Fully Connected CRFs Mean Field Inference
2016/7/27
In this paper we explore semantic segmentation of man-made scenes using fully connected conditional random field (CRF). Images of man-made scenes display strong contextual dependencies in the spatial ...
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...
Impacts of a Resolution-Pyramid on Gibbs Random Field Classification
Segmentation Texture Classifi cation Multiresolution Hierarchical Spatial IKONOS
2016/1/25
In this paper we describe how to extend the Markov/Gibbs random field model used for texture classification to a multi-resolution
approach in the context of land cover analysis. Our metho...
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 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...
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 NEW MULTI-SCALE MODELING APPROACH FOR SPACE/TIME RANDOM FIELD ESTIMATION
MULTI-SCALE MODELING APPROACH SPACE/TIME RANDOM FIELD ESTIMATION
2015/3/16
A NEW MULTI-SCALE MODELING APPROACH FOR SPACE/TIME RANDOM FIELD ESTIMATION.
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
2013/4/30
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...
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
2013/4/24
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...