An Improved Spatial and Temporal Reflectance Unmixing Model to Synthesize Time Series of Landsat-Like Images
出版年份 2018 全文链接
标题
An Improved Spatial and Temporal Reflectance Unmixing Model to Synthesize Time Series of Landsat-Like Images
作者
关键词
-
出版物
Remote Sensing
Volume 10, Issue 9, Pages 1388
出版商
MDPI AG
发表日期
2018-08-31
DOI
10.3390/rs10091388
参考文献
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。- Performance assessment of ESTARFM with different similar-pixel identification schemes
- (2018) Jianhang Ma et al. Journal of Applied Remote Sensing
- A robust adaptive spatial and temporal image fusion model for complex land surface changes
- (2018) Yongquan Zhao et al. REMOTE SENSING OF ENVIRONMENT
- Spatio-temporal fusion for daily Sentinel-2 images
- (2018) Qunming Wang et al. REMOTE SENSING OF ENVIRONMENT
- Characterization of Sentinel-2A and Landsat-8 top of atmosphere, surface, and nadir BRDF adjusted reflectance and NDVI differences
- (2018) Hankui K. Zhang et al. REMOTE SENSING OF ENVIRONMENT
- Assessment of Spatiotemporal Fusion Algorithms for Planet and Worldview Images
- (2018) Chiman Kwan et al. SENSORS
- A Hybrid Color Mapping Approach to Fusing MODIS and Landsat Images for Forward Prediction
- (2018) Chiman Kwan et al. Remote Sensing
- Deriving High Spatiotemporal Remote Sensing Images Using Deep Convolutional Network
- (2018) Zhenyu Tan et al. Remote Sensing
- Improving Spatial-Temporal Data Fusion by Choosing Optimal Input Image Pairs
- (2018) Donghui Xie et al. Remote Sensing
- Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions
- (2018) et al. Remote Sensing
- Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA
- (2017) Stephen P. Boyte et al. GIScience & Remote Sensing
- A Spatial and Temporal Nonlocal Filter-Based Data Fusion Method
- (2017) Qing Cheng et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Improving the mapping of crop types in the Midwestern U.S. by fusing Landsat and MODIS satellite data
- (2017) Likai Zhu et al. International Journal of Applied Earth Observation and Geoinformation
- Mapping of heavy metal pollution in river water at daily time-scale using spatio-temporal fusion of MODIS-aqua and Landsat satellite imageries
- (2017) Ratnakar Swain et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Global cross-calibration of Landsat spectral mixture models
- (2017) Daniel Sousa et al. REMOTE SENSING OF ENVIRONMENT
- A Bayesian Data Fusion Approach to Spatio-Temporal Fusion of Remotely Sensed Images
- (2017) Jie Xue et al. Remote Sensing
- An Integrated Framework for the Spatio–Temporal–Spectral Fusion of Remote Sensing Images
- (2016) Huanfeng Shen et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery
- (2016) Mingquan Wu et al. Information Fusion
- The global Landsat archive: Status, consolidation, and direction
- (2016) Michael A. Wulder et al. REMOTE SENSING OF ENVIRONMENT
- A flexible spatiotemporal method for fusing satellite images with different resolutions
- (2016) Xiaolin Zhu et al. REMOTE SENSING OF ENVIRONMENT
- An Improved STARFM with Help of an Unmixing-Based Method to Generate High Spatial and Temporal Resolution Remote Sensing Data in Complex Heterogeneous Regions
- (2016) Dengfeng Xie et al. SENSORS
- Image super-resolution: The techniques, applications, and future
- (2016) Linwei Yue et al. SIGNAL PROCESSING
- Spatial and Temporal Image Fusion via Regularized Spatial Unmixing
- (2015) Yong Xu et al. IEEE Geoscience and Remote Sensing Letters
- A support vector machine to identify irrigated crop types using time-series Landsat NDVI data
- (2015) Baojuan Zheng et al. International Journal of Applied Earth Observation and Geoinformation
- Spatiotemporal image-fusion model for enhancing the temporal resolution of Landsat-8 surface reflectance images using MODIS images
- (2015) Khaled Hazaymeh et al. Journal of Applied Remote Sensing
- Integrated fusion of multi-scale polar-orbiting and geostationary satellite observations for the mapping of high spatial and temporal resolution land surface temperature
- (2015) Penghai Wu et al. REMOTE SENSING OF ENVIRONMENT
- Downscaling MODIS images with area-to-point regression kriging
- (2015) Qunming Wang et al. REMOTE SENSING OF ENVIRONMENT
- A comparison of STARFM and an unmixing-based algorithm for Landsat and MODIS data fusion
- (2015) Caroline M. Gevaert et al. REMOTE SENSING OF ENVIRONMENT
- Comparison of Spatiotemporal Fusion Models: A Review
- (2015) Bin Chen et al. Remote Sensing
- Fusing Landsat and MODIS Data for Vegetation Monitoring
- (2015) Feng Gao et al. IEEE Geoscience and Remote Sensing Magazine
- Fusion of MODIS and Landsat-8 Surface Temperature Images: A New Approach
- (2015) Khaled Hazaymeh et al. PLoS One
- Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data
- (2014) Qihao Weng et al. REMOTE SENSING OF ENVIRONMENT
- Blending Landsat and MODIS Data to Generate Multispectral Indices: A Comparison of “Index-then-Blend” and “Blend-then-Index” Approaches
- (2014) Abdollah Jarihani et al. Remote Sensing
- A new model for automatic normalization of multitemporal satellite images using Artificial Neural Network and mathematical methods
- (2013) Vahid Sadeghi et al. APPLIED MATHEMATICAL MODELLING
- A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing
- (2013) Wing-Kin Ma et al. IEEE SIGNAL PROCESSING MAGAZINE
- Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring
- (2013) Julia Amorós-López et al. International Journal of Applied Earth Observation and Geoinformation
- A spatial and temporal reflectance fusion model considering sensor observation differences
- (2013) Huanfeng Shen et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Multi-scale standardized spectral mixture models
- (2013) Christopher Small et al. REMOTE SENSING OF ENVIRONMENT
- Assessing the accuracy of blending Landsat–MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection
- (2013) Irina V. Emelyanova et al. REMOTE SENSING OF ENVIRONMENT
- The global availability of Landsat 5 TM and Landsat 7 ETM+ land surface observations and implications for global 30m Landsat data product generation
- (2013) V. Kovalskyy et al. REMOTE SENSING OF ENVIRONMENT
- A data fusion approach for mapping daily evapotranspiration at field scale
- (2013) C. Cammalleri et al. WATER RESOURCES RESEARCH
- Spatiotemporal Reflectance Fusion via Sparse Representation
- (2012) Bo Huang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Spatiotemporal Satellite Image Fusion Through One-Pair Image Learning
- (2012) Huihui Song et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model
- (2012) Zheng Niu Journal of Applied Remote Sensing
- Regularized Multiresolution Spatial Unmixing for ENVISAT/MERIS and Landsat/TM Image Fusion
- (2011) Julia Amoros-Lopez et al. IEEE Geoscience and Remote Sensing Letters
- Endmember variability in Spectral Mixture Analysis: A review
- (2011) Ben Somers et al. REMOTE SENSING OF ENVIRONMENT
- An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions
- (2010) Xiaolin Zhu et al. REMOTE SENSING OF ENVIRONMENT
- Hypercomplex Quality Assessment of Multi/Hyperspectral Images
- (2009) A. Garzelli et al. IEEE Geoscience and Remote Sensing Letters
- Downscaling time series of MERIS full resolution data to monitor vegetation seasonal dynamics
- (2009) R. Zurita-Milla et al. REMOTE SENSING OF ENVIRONMENT
- Generation of dense time series synthetic Landsat data through data blending with MODIS using a spatial and temporal adaptive reflectance fusion model
- (2009) Thomas Hilker et al. REMOTE SENSING OF ENVIRONMENT
- Combining medium and coarse spatial resolution satellite data to improve the estimation of sub-pixel NDVI time series
- (2007) L BUSETTO et al. REMOTE SENSING OF ENVIRONMENT
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search