搜索结果: 1-8 共查到“Conditional Random Field”相关记录8条 . 查询时间(0.062 秒)
WATERBODIES EXTRACTION FROM LANDSAT8-OLI IMAGERY USING AWATER INDEXS-GUIED STOCHASTIC FULLY-CONNECTED CONDITIONAL RANDOM FIELD MODEL AND THE SUPPORT VECTOR MACHINE
Water index CRF Landsa Water extraction SVM
2018/5/15
One of the most important applications of remote sensing classification is water extraction. The water index (WI) based on Landsat images is one of the most common ways to distinguish water bodies fro...
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 ...
A Conditional Random Field Word Segmenter for Sighan Bakeoff 2005
Conditional Random Field Word Segmenter Sighan Bakeoff 2005
2015/6/12
We present a Chinese word segmentation system submitted to the closed track of Sighan bakeoff 2005. Our segmenter was built using a conditional random field sequence model that provides a framework to...
Efficient, Feature-based, Conditional Random Field Parsing
Efficient Feature-based Conditional Random Field
2015/6/12
Discriminative feature-based methods are widely used in natural language processing, but sentence parsing is still dominated by generative methods. While prior feature-based dynamic programming parser...
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...
Line-based Classification of Terrestrial Laser Scanning Data using Conditional Random Field
Gaussian Mixture Model Expectation Maximization Terrestrial Laser Scanning Conditional Random Field
2014/4/22
This paper describes a line-based classification method, which labels TLS point clouds into vertical object, ground, tree and low objects. A local classifier implements labeling task on individual sit...