相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A Systematic Review of Hidden Markov Models and Their Applications
Bhavya Mor et al.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2021)
Multisensor and Multiresolution Remote Sensing Image Classification through a Causal Hierarchical Markov Framework and Decision Tree Ensembles
Martina Pastorino et al.
REMOTE SENSING (2021)
Collect Earth: An online tool for systematic reference data collection in land cover and use applications
David Saah et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2019)
Key issues in rigorous accuracy assessment of land cover products
Stephen V. Stehman et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Reconstructing long term annual deforestation dynamics in Para and Mato Grosso using the Landsat archive
Patrick Griffiths et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Gross and net land cover changes in the main plant functional types derived from the annual ESA CCI land cover maps (1992-2015)
Wei Li et al.
EARTH SYSTEM SCIENCE DATA (2018)
Improving the Consistency of Multitemporal Land Cover Maps Using a Hidden Markov Model
S. Parker Abercrombie et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016)
The rapid and massive urban and industrial land expansions in China between 1990 and 2010: A CLUD-based analysis of their trajectories, patterns, and drivers
Wenhui Kuang et al.
LANDSCAPE AND URBAN PLANNING (2016)
Integrating Landsat pixel composites and change metrics with lidar plots to predictively map forest structure and aboveground biomass in Saskatchewan, Canada
Harold S. J. Zald et al.
REMOTE SENSING OF ENVIRONMENT (2016)
Dynamics of global forest area: Results from the FAO Global Forest Resources Assessment 2015
Rodney J. Keenan et al.
FOREST ECOLOGY AND MANAGEMENT (2015)
Continuous change detection and classification of land cover using all available Landsat data
Zhe Zhu et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Good practices for estimating area and assessing accuracy of land change
Pontus Olofsson et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Automated Training Sample Extraction for Global Land Cover Mapping
Julien Radoux et al.
REMOTE SENSING (2014)
Land-Cover Mapping by Markov Modeling of Spatial-Contextual Information in Very-High-Resolution Remote Sensing Images
Gabriele Moser et al.
PROCEEDINGS OF THE IEEE (2013)
Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation
Pontus Olofsson et al.
REMOTE SENSING OF ENVIRONMENT (2013)
High-Resolution Global Maps of 21st-Century Forest Cover Change
M. C. Hansen et al.
SCIENCE (2013)
Revisiting land cover observation to address the needs of the climate modeling community
S. Bontemps et al.
BIOGEOSCIENCES (2012)
The HYDE 3.1 spatially explicit database of human-induced global land-use change over the past 12,000 years
Kees Klein Goldewijk et al.
GLOBAL ECOLOGY AND BIOGEOGRAPHY (2011)
A Meta-Analysis of Global Urban Land Expansion
Karen C. Seto et al.
PLOS ONE (2011)
The dimensions of global urban expansion: Estimates and projections for all countries, 2000-2050
Shlomo Angel et al.
PROGRESS IN PLANNING (2011)
MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
Mark A. Friedl et al.
REMOTE SENSING OF ENVIRONMENT (2010)
Higher-order multivariate Markov chains and their applications
Wai-Ki Ching et al.
LINEAR ALGEBRA AND ITS APPLICATIONS (2008)
Deforestation in Central Africa:: Estimates at regional, national and landscape levels by advanced processing of systematically-distributed Landsat extracts
G. Duveiller et al.
REMOTE SENSING OF ENVIRONMENT (2008)
A time varying hidden Markov model with latent information
Edoardo Otranto
STATISTICAL MODELLING (2008)
Forest change detection by statistical object-based method
Baudouin Desclee et al.
REMOTE SENSING OF ENVIRONMENT (2006)
On prediction using variable order Markov models
R Begleiter et al.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2004)