搜索结果: 1-6 共查到“遥感信息工程 Markov”相关记录6条 . 查询时间(0.031 秒)
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...
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...