Results 11 to 20 of about 1,249,287 (318)

Mamba-STFM: A Mamba-Based Spatiotemporal Fusion Method for Remote Sensing Images

Remote Sensing
Spatiotemporal fusion techniques can generate remote sensing imagery with high spatial and temporal resolutions, thereby facilitating Earth observation.
Qiyuan Zhang, Xiaodan Zhang, Chen Quan, Tong Zhao, Wei Huo, Yuanchen Huang   +5 more
doaj   +3 more sources

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
doaj   +3 more sources

ENSO Forecasts With Spatiotemporal Fusion Transformer Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The El Niño-Southern Oscillation (ENSO) is a global significant signal which exerts substantial climatic and socioeconomic impacts worldwide. However, the long-term prediction of ENSO persists as a challenge because of its diversity, irregularity, and asymmetry. Here, we develop a spatiotemporal fusion transformer network (STFTN), which designed
Anming Zhao, Mengjiao Qin, Sensen Wu, Renyi Liu, Zhenhong Du   +4 more
core   +4 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   +2 more sources

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   +2 more sources

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
doaj   +2 more sources

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   +2 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
doaj   +2 more sources

Short-term OD flow prediction for urban rail transit control : A multi-graph spatiotemporal fusion approach

Information Fusion
There is growing pressure to manage and run urban rail transit networks as more people select this mode of transportation for their travel. It is, therefore, essential to create a precise system to predict passenger movements from origins to destinations
Ning, Xin,, Wang, Gang,, Xing, Xue,, Tiwari, Prayag,, Wang, Bing,   +4 more
core   +2 more sources

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
doaj   +2 more sources