Spatio-temporal fusion for remote sensing data: an overview and new benchmark
作者： Jun Li , Yunfei Li , Lin He , Jin Chen , Antonio Plaza
DOI: 10.1007/S11432-019-2785-Y
关键词:
摘要: … The spatialtemporal fraction map fusion model first generates fine resolution fraction change maps by using kernel ridge regression, and then uses a temporal-weighted fusion model to …
sciengine.com
springer.com参考文章(94)
R. Zurita-Milla, J. Clevers, M.E. Schaepman, Unmixing-Based Landsat TM and MERIS FR Data Fusion IEEE Geoscience and Remote Sensing Letters. ,vol. 5, pp. 453- 457 ,(2008) , 10.1109/LGRS.2008.919685
Dongjie Fu, Baozhang Chen, Juan Wang, Xiaolin Zhu, Thomas Hilker, An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model Remote Sensing. ,vol. 5, pp. 6346- 6360 ,(2013) , 10.3390/RS5126346
Z. Wang, A.C. Bovik, H.R. Sheikh, E.P. Simoncelli, Image quality assessment: from error visibility to structural similarity IEEE Transactions on Image Processing. ,vol. 13, pp. 600- 612 ,(2004) , 10.1109/TIP.2003.819861
X. Yang, C. P. Lo, Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area International Journal of Remote Sensing. ,vol. 23, pp. 1775- 1798 ,(2002) , 10.1080/01431160110075802
Khaled Hazaymeh, Quazi K. Hassan, Spatiotemporal image-fusion model for enhancing the temporal resolution of Landsat-8 surface reflectance images using MODIS images Journal of Applied Remote Sensing. ,vol. 9, pp. 096095- 096095 ,(2015) , 10.1117/1.JRS.9.096095
Yuhan Rao, Xiaolin Zhu, Jin Chen, Jianmin Wang, An Improved Method for Producing High Spatial-Resolution NDVI Time Series Datasets with Multi-Temporal MODIS NDVI Data and Landsat TM/ETM+ Images Remote Sensing. ,vol. 7, pp. 7865- 7891 ,(2015) , 10.3390/RS70607865
Xiaolin Zhu, Eileen H. Helmer, Feng Gao, Desheng Liu, Jin Chen, Michael A. Lefsky, A flexible spatiotemporal method for fusing satellite images with different resolutions Remote Sensing of Environment. ,vol. 172, pp. 165- 177 ,(2016) , 10.1016/J.RSE.2015.11.016
Michael D. Johnson, William W. Hsieh, Alex J. Cannon, Andrew Davidson, Frédéric Bédard, Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods Agricultural and Forest Meteorology. ,vol. 218, pp. 74- 84 ,(2016) , 10.1016/J.AGRFORMET.2015.11.003
Rasmus Houborg, Matthew F. McCabe, Feng Gao, A Spatio-Temporal Enhancement Method for medium resolution LAI (STEM-LAI) International Journal of Applied Earth Observation and Geoinformation. ,vol. 47, pp. 15- 29 ,(2016) , 10.1016/J.JAG.2015.11.013
Dengfeng Xie, Jinshui Zhang, Xiufang Zhu, Yaozhong Pan, Hongli Liu, Zhoumiqi Yuan, Ya Yun, An Improved STARFM with Help of an Unmixing-Based Method to Generate High Spatial and Temporal Resolution Remote Sensing Data in Complex Heterogeneous Regions. Sensors. ,vol. 16, pp. 207- 207 ,(2016) , 10.3390/S16020207