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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Markov decision process and reinforcement learning for intelligent
智能 马尔可夫 决策过程 强化学习
2023/4/28
本次讲座主要针对智能运维中的建模优化问题。首先基于前期研究，我将讨论基于马尔可夫决策过程的有限周期的视情维护策略。考虑二元件系统以及系统元件的退化过程具有随机相关性，用二元伽马过程来描述系统退化过程。系统元件服从周期性检测，当元件的退化程度超过预防性维护阈值时，其会被替换。该维护问题可以表示成马尔可夫决策过程并可用动态规划来求解。不同于无限周期的维护策略，有限周期的最优策略是动态的，其在每次检测都...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Markov decision process and reinforcement learning for intelligent operation and maintenance
智能 马尔可夫 决策过程 强化学习
2023/4/28
本次讲座主要针对智能运维中的建模优化问题。首先基于前期研究，我将讨论基于马尔可夫决策过程的有限周期的视情维护策略。考虑二元件系统以及系统元件的退化过程具有随机相关性，用二元伽马过程来描述系统退化过程。系统元件服从周期性检测，当元件的退化程度超过预防性维护阈值时，其会被替换。该维护问题可以表示成马尔可夫决策过程并可用动态规划来求解。不同于无限周期的维护策略，有限周期的最优策略是动态的，其在每次检测都...
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
2018/5/15
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...
MONITORING FARMLAND LOSS CAUSED BY URBANIZATION IN BEIJING FROM MODIS TIME SERIES USING HIERARCHICAL HIDDEN MARKOV MODEL
Urban Encroachment onto Farmland Time Series Change Detection Hierarchical Hidden Markov Model (HHMM)
2018/5/16
In this study, we proposed a method to map urban encroachment onto farmland using satellite image time series (SITS) based on the hierarchical hidden Markov model (HHMM). In this method, the farmland ...
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...
Predicting the Performance of a Design Team Using a Markov Chain Model
New product development optimization organizational decision processes organizational design Queuing/Markov analysis
2016/5/18
When faced with a complex design problem, a design team may separate it into subproblems. We would like to know when this approach is superior and how subproblems shouldbe assigned to team members. We...
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...
基于Markov方法的多阶段任务系统可靠性分析综述
多阶段任务系统 任务可靠性 Markov过程
2016/8/15
基于Markov方法的PMS任务可靠性建模方法大致可以分为统一建模、分阶段建模、层次化建模以及模块化建模，介绍了各种建模方法的主要思路及优缺点;同时，分析总结了基于Markov的任务可靠性模型求解方法，并指出大规模PMS的Markov可靠性建模与分析方法是下一步需要研究解决的问题。
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...