Results 11 to 20 of about 32,837 (284)

An Improved Spatiotemporal Data Fusion Method Using Surface Heterogeneity Information Based on ESTARFM

Remote Sensing, 2020
The use of the spatiotemporal data fusion method as an effective data interpolation method has received extensive attention in remote sensing (RS) academia.
Mengxue Liu, Xiangnan Liu, Xiaobin Dong, Bingyu Zhao, Xinyu Zou, Ling Wu, Hejie Wei   +6 more
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Spatiotemporal Image Fusion in Remote Sensing [PDF]

Remote Sensing, 2019
In this paper, we discuss spatiotemporal data fusion methods in remote sensing. These methods fuse temporally sparse fine-resolution images with temporally dense coarse-resolution images.
Mariana Belgiu, Alfred Stein
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Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support [PDF]

Environmetrics, 2018
AbstractStatistical downscaling has been developed for the fusion of data of different spatial support. However, environmental data often have different temporal support, which must also be accounted for. This paper presents a novel method of nonparametric statistical downscaling, which enables the fusion of data of different spatiotemporal support ...
Wilkie, C.J., Miller, C.A., Scott, E.M., O'Donnell, R.A., Hunter, P.D., Spyrakos, E., Tyler, A.N.   +6 more
openaire   +5 more sources

MSISR-STF: Spatiotemporal Fusion via Multilevel Single-Image Super-Resolution

Remote Sensing, 2023
Due to technological limitations and budget constraints, spatiotemporal image fusion uses the complementarity of high temporal–low spatial resolution (HTLS) and high spatial–low temporal resolution (HSLT) data to obtain high temporal and spatial ...
Xiongwei Zheng, Ruyi Feng, Junqing Fan, Wei Han, Shengnan Yu, Jia Chen   +5 more
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Feasibility of the Spatiotemporal Fusion Model in Monitoring Ebinur Lake’s Suspended Particulate Matter under the Missing-Data Scenario

Remote Sensing, 2021
High-frequency monitoring of suspended particulate matter (SPM) concentration can improve water resource management. Missing high-resolution satellite images could hamper remote-sensing SPM monitoring.
Changjiang Liu, Pan Duan, Fei Zhang, Chi-Yung Jim, Mou Leong Tan, Ngai Weng Chan   +5 more
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Adaptive-SFSDAF for Spatiotemporal Image Fusion that Selectively Uses Class Abundance Change Information

Remote Sensing, 2020
Many spatiotemporal image fusion methods in remote sensing have been developed to blend highly resolved spatial images and highly resolved temporal images to solve the problem of a trade-off between the spatial and temporal resolution from a single ...
Shuwei Hou, Wenfang Sun, Baolong Guo, Cheng Li, Xiaobo Li, Yingzhao Shao, Jianhua Zhang   +6 more
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A Rigorously-Weighted Spatiotemporal Fusion Model with Uncertainty Analysis

Remote Sensing, 2017
Interest has been growing with regard to the use of remote sensing data characterized by a fine spatial resolution and frequent coverage for the monitoring of land surface dynamics.
Jing Wang, Bo Huang
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A road network traffic flow data imputation method based on the fusion of spatiotemporal features and adversarial networks

Systems Science & Control Engineering
In response to the problem of missing traffic flow data on highways, to solve the problem of insufficient mining of traffic flow characteristics using existing spatiotemporal correlation repair methods, a missing data repair method based on ...
Zhang Yaofang, Chen Jian, Fu Zhiyan
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The Spatially Seamless Spatiotemporal Fusion Model Based on Generative Adversarial Networks

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Spatiotemporal fusion is a method of fusing high spatial resolution low temporal resolution remote sensing images and low spatial resolution high temporal resolution in order to obtain high spatiotemporal resolution remote sensing images, which can ...
ChenYang Weng, Yulin Zhan, Xingfa Gu, Jian Yang, Yan Liu, Hong Guo, Zilong Lian, Shiyuan Zhang, Zhangjie Wang, Xuechun Zhao   +9 more
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Robustness Comparison of Spatiotemporal Fusion Models With High Spatial Resolution Satellite Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The construction of high spatial and temporal image time series through spatiotemporal image fusion is vital for environmental monitoring and time-series analysis.
Soyeon Park, Sumin Park, Yeseul Kim, Hyun-Ok Kim, Jong-Hwan Son, Taejung Kim, No-Wook Park   +6 more
doaj   +2 more sources