Results 21 to 30 of about 1,087,010 (389)

An Enhanced Single-Pair Learning-Based Reflectance Fusion Algorithm with Spatiotemporally Extended Training Samples [PDF]

Remote Sensing, 2018
Spatiotemporal fusion methods are considered a useful tool for generating multi-temporal reflectance data with limited high-resolution images and necessary low-resolution images.
Dacheng Li, Yanrong Li, Wenfu Yang, Yanqin Ge, Qijin Han, Lingling Ma, Yonghong Chen, Xuan Li   +7 more
openalex   +3 more sources

Recent Advances in Deep Learning-Based Spatiotemporal Fusion Methods for Remote Sensing Images. [PDF]

Sensors (Basel)
Remote sensing images captured by satellites play a critical role in Earth observation (EO). With the advancement of satellite technology, the number and variety of remote sensing satellites have increased, which provide abundant data for precise ...
Lian Z, Zhan Y, Zhang W, Wang Z, Liu W, Huang X.   +5 more
europepmc   +2 more sources

Improving the spatiotemporal fusion accuracy of fractional vegetation cover in agricultural regions by combining vegetation growth models

International Journal of Applied Earth Observations and Geoinformation, 2021
Spatiotemporal fusion has provided a feasible way to generate fractional vegetation cover (FVC) data with high spatial and temporal resolution. However, when the currently available spatiotemporal fusion methods are applied over agricultural regions ...
Guofeng Tao, Kun Jia, Xiangqin Wei, Mu Xia, Bing Wang, Xianhong Xie, Bo Jiang, Yunjun Yao, Xiaotong Zhang   +8 more
openalex   +3 more sources

Generating daily 100 m resolution land surface temperature estimates continentally using an unbiased spatiotemporal fusion approach

Remote Sensing of Environment, 2023
Yi Yu, Luigi J. Renzullo, Tim R. McVicar, Brendan Malone, Siyuan Tian   +4 more
openalex   +2 more sources

A deep learning approach for deriving wheat phenology from near-surface RGB image series using spatiotemporal fusion. [PDF]

Plant Methods
Cai Y, Li Y, Qi X, Zhao J, Jiang L, Tian Y, Zhu Y, Cao W, Zhang X.   +8 more
europepmc   +2 more sources

Geographically Weighted Spatial Unmixing for Spatiotemporal Fusion [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2022
Spatiotemporal fusion is a technique applied to create images with both fine spatial and temporal resolutions by blending images with different spatial and temporal resolutions. Spatial unmixing (SU) is a widely used approach for spatiotemporal fusion, which requires only the minimum number of input images.
Kaidi Peng, Qunming Wang, Yijie Tang, Xiaohua Tong, Peter M. Atkinson   +4 more
openaire   +3 more sources

A Sensor Bias Correction Method for Reducing the Uncertainty in the Spatiotemporal Fusion of Remote Sensing Images

Remote Sensing, 2022
With the development of multisource satellite platforms and the deepening of remote sensing applications, the growing demand for high-spatial resolution and high-temporal resolution remote sensing images has aroused extensive interest in spatiotemporal ...
Hongwei Zhang, Fang Huang, Xiuchao Hong, Ping Wang   +3 more
doaj   +1 more source

A COMPARATIVE ANALYSIS OF SPATIOTEMPORAL DATA FUSION MODELS FOR LANDSAT AND MODIS DATA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
In this study, three documented spatiotemporal data fusion models were applied to Landsat-7 and MODIS surface reflectance, and NDVI. The algorithms included the spatial and temporal adaptive reflectance fusion model (STARFM), sparse representation based ...
K. Hazaymeh, A. Almagbile
doaj   +1 more source

Enhanced Multi-Stream Remote Sensing Spatiotemporal Fusion Network Based on Transformer and Dilated Convolution

Remote Sensing, 2022
Remote sensing images with high temporal and spatial resolutions play a crucial role in land surface-change monitoring, vegetation monitoring, and natural disaster mapping.
Weisheng Li, Dongwen Cao, Minghao Xiang
doaj   +1 more source

OBSUM: An object-based spatial unmixing model for spatiotemporal fusion of remote sensing images [PDF]

Remote Sensing of Environment, 304, 2024, 114046, 2023
Spatiotemporal fusion aims to improve both the spatial and temporal resolution of remote sensing images, thus facilitating time-series analysis at a fine spatial scale. However, there are several important issues that limit the application of current spatiotemporal fusion methods.
arxiv   +1 more source