Results 281 to 290 of about 1,249,287 (318)

CIG-STF: Change Information Guided Spatiotemporal Fusion for Remote Sensing Images

IEEE Transactions on Geoscience and Remote Sensing
Spatiotemporal fusion has been attracting increasing attention in remote sensing applications, such as environmental monitoring and land cover change detection, due to its excellent ability to obtain high spatial and temporal resolution images.
Mingzhu You, Xiangchao Meng, Qiang Liu, Feng Shao, Randi Fu   +4 more
semanticscholar   +1 more source

HPLTS-GAN: A High-Precision Remote Sensing Spatiotemporal Fusion Method Based on Low Temporal Sensitivity

IEEE Transactions on Geoscience and Remote Sensing
Remote sensing spatiotemporal image fusion is a promising approach to acquire remote sensing data with high spatial and temporal resolution. While most deep neural network-based models have demonstrated high accuracy, they heavily depend on temporal ...
Dajiang Lei, Qianwei Zhu, Yujia Li, Jiayan Tan, Shuai Wang, Tingting Zhou, Liping Zhang   +6 more
semanticscholar   +1 more source

STINet: Vegetation Changes Reconstruction Through a Transformer-Based Spatiotemporal Fusion Approach in Remote Sensing

IEEE Transactions on Geoscience and Remote Sensing
Filling gaps in high-resolution satellite imagery is essential for tracking vegetation changes over time. Spatiotemporal fusion (STF) aims to create fusion products that improve both spatial resolution and temporal coverage by using images from various ...
Sai Wang, Fenglei Fan
semanticscholar   +1 more source

STFNet: A Spatiotemporal Fusion Network for Forest Change Detection Using Multi-Source Satellite Images

Remote Sensing
Forest resources have important ecological and environmental values, and monitoring forest changes using remote sensing images is essential for resource management and ecological protection.
Yingjiao Tan, Kaimin Sun, Jinjiang Wei, Song Gao, Wei Cui, Yu Duan, Junyi Liu, Wanghui Zhou   +7 more
semanticscholar   +1 more source

Attention-Based Spatiotemporal Graph Fusion Convolution Networks for Water Quality Prediction

IEEE Transactions on Automation Science and Engineering
In many fields, spatiotemporal prediction is gaining more and more attention, e.g., air pollution, weather forecasting, and traffic forecasting. Water quality prediction is a spatiotemporal prediction task.
Junfei Qiao, Yongze Lin, Jingye Bi, Haitao Yuan, Gongming Wang, Mengchu Zhou   +5 more
semanticscholar   +1 more source

Spatiotemporal Enhancement and Interlevel Fusion Network for Remote Sensing Images Change Detection

IEEE Transactions on Geoscience and Remote Sensing
Remote sensing (RS) image change detection (CD) plays a crucial role in monitoring surface dynamics; however, current deep learning (DL)-based CD methods still suffer from pseudo changes and scale variations due to inadequate exploration of temporal ...
Yanyuan Huang, Xinghua Li, Zhen-Hua Du, Huanfeng Shen   +3 more
semanticscholar   +1 more source

A reliable and adaptive spatiotemporal data fusion method for blending multi-spatiotemporal-resolution satellite images

Remote Sensing of Environment, 2022
Wenzhong Shi, Dizhou Guo, Hua Zhang
exaly  

VSDF: A variation-based spatiotemporal data fusion method

Remote Sensing of Environment, 2022
Xiaoping Du, Zhenzhen Yan, Xiangtao Fan   +2 more
exaly  

A novel framework to assess all-round performances of spatiotemporal fusion models

Remote Sensing of Environment, 2022
Xiaolin Zhu, Wenfeng Zhan, Junxiong Zhou   +2 more
exaly  

A spatiotemporal fusion method based on interpretable deep networks

Applied Intelligence, 2023
Dajiang Lei, Jiayang Tan, Yue Wu, Qun Liu 0005, Weisheng Li 0001   +4 more
openaire   +1 more source