Results 31 to 40 of about 1,087,010 (389)

Deep Learning-Based Spatiotemporal Fusion of Unmanned Aerial Vehicle and Satellite Reflectance Images for Crop Monitoring

IEEE Access, 2023
Spatiotemporal fusion (STF) techniques play important roles in Earth observation analysis as they enable the generation of images with high spatial and temporal resolution.
Juan Xiao, A. Aggarwal, Uday Kiran Rage, Vaibhav Katiyar, R. Avtar   +4 more
semanticscholar   +1 more source

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   +1 more source

Comparative Analysis and Fusion of Spatiotemporal Information for Footstep Recognition [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013
Footstep recognition is a relatively new biometric which aims to discriminate people using walking characteristics extracted from floor-based sensors. This paper reports for the first time a comparative assessment of the spatiotemporal information contained in the footstep signals for person recognition.
Vera Rodríguez, Rubén, Mason, John S. D., Fiérrez Aguilar, Julián, Ortega García, Javier   +3 more
openaire   +6 more sources

Spatiotemporal Fusion With Only Two Remote Sensing Images as Input

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Spatiotemporal data fusion is an effective way of generating a dense time series with a high spatial resolution. Traditionally, the spatiotemporal fusion models, especially the popular ones such as the spatial and temporal adaptive reflectance fusion ...
Jingan Wu, Qing Cheng, Huifang Li, Shuang Li, Xiaobin Guan, Huanfeng Shen   +5 more
doaj   +1 more source

MSNet: A Multi-Stream Fusion Network for Remote Sensing Spatiotemporal Fusion Based on Transformer and Convolution

Remote Sensing, 2021
Remote sensing products with high temporal and spatial resolution can be hardly obtained under the constrains of existing technology and cost.
Weisheng Li, Dongwen Cao, Yidong Peng, Chao Yang   +3 more
doaj   +1 more source

A Comprehensive Flexible Spatiotemporal DAta Fusion Method (CFSDAF) for Generating High Spatiotemporal Resolution Land Surface Temperature in Urban Area

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Spatiotemporal fusion of land surface temperature (LST) has a vital significance in studying the temporal and spatial variation of urban heat islands.
Chenlie Shi, Ninglian Wang, Quan Zhang, Zhuang Liu, Xinming Zhu   +4 more
doaj   +1 more source

MCBAM-GAN: The Gan Spatiotemporal Fusion Model Based on Multiscale and CBAM for Remote Sensing Images

Remote Sensing, 2023
Due to the limitations of current technology and budget, as well as the influence of various factors, obtaining remote sensing images with high-temporal and high-spatial (HTHS) resolution simultaneously is a major challenge. In this paper, we propose the
Hui Liu, G. Yang, Fengliang Deng, Yurong Qian, Yingying Fan   +4 more
semanticscholar   +1 more source

Spatiotemporal Fusion of Formosat-2 and Landsat-8 Satellite Images: A Comparison of “Super Resolution-Then-Blend” and “Blend-Then-Super Resolution” Approaches

Remote Sensing, 2021
The spatiotemporal fusion technique has the advantages of generating time-series images with high-spatial and high-temporal resolution from coarse-resolution to fine-resolution images.
Tee-Ann Teo, Yu-Ju Fu
doaj   +1 more source

A Rigorously-Incremental Spatiotemporal Data Fusion Method for Fusing Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
The spatiotemporal remote sensing images have significant importance in forest ecological monitoring, forest carbon management, and other related fields. Spatiotemporal data fusion technology of remote sensing images combines high spatiotemporal and high
Weipeng Jing, Tongtong Lou, Zeyu Wang, Weitao Zou, Zekun Xu, Linda Mohaisen, Chao Li, Jian Wang   +7 more
doaj   +1 more source

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
doaj   +1 more source