Results 21 to 30 of about 1,249,287 (318)

An Experimental Study of the Accuracy and Change Detection Potential of Blending Time Series Remote Sensing Images with Spatiotemporal Fusion

Remote Sensing, 2023
Over one hundred spatiotemporal fusion algorithms have been proposed, but convolutional neural networks trained with large amounts of data for spatiotemporal fusion have not shown significant advantages. In addition, no attention has been paid to whether
Jingbo Wei, Lei Chen, Zhou Chen, Yukun Huang   +3 more
doaj   +2 more sources

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
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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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Accelerate Spatiotemporal Fusion For Large-Scale Applications

International Journal of Applied Earth Observation and Geoinformation
Spatiotemporal fusion (STF) can provide dense satellite image series with high spatial resolution. However, most spatiotemporal fusion approaches are time-consuming, which seriously limits their applicability in large-scale areas. To address this problem, some efforts have been paid for accelerating STF approaches with help of graphics processing units
Yunfei Li 0006, Liangli Meng, Huaizhang Sun, Qian Shi 0001, Jun Li 0009, Yaotong Cai   +5 more
openaire   +3 more sources

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

Remote Sensing of Environment, 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.
Ye, Dingqi, Guo, Houcai, Bruzzone, Lorenzo   +2 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
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Dynamic Monitoring of Soil Salinization in Oasis Regions Using Spatiotemporal Fusion Algorithms

Remote Sensing
Accurate dynamic monitoring of soil salinization in arid oasis regions is crucial for sustainable regional development. Remote sensing is widely used for large-scale, long-term monitoring, but its effectiveness is often limited by image quality and ...
Jinjie Wang, Annan Zeng, Jianli Ding, Shaofeng Qin   +3 more
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Comprehensive assessment of Spatiotemporal fusion methods in inland water monitoring

GIScience & Remote Sensing
Monitoring rapidly changing inland water bodies using remote sensing requires a temporal resolution of at least 3 days and a spatial resolution of at least 30 meters.
Huimin Zhu, Chengzhi Sun, Yulong Guo, Zhubin Zheng, Lingfei Shi, Qiang Xu, Weiqiang Chen, Guangxing Ji, Yuan Li   +8 more
core   +2 more sources

SFT-GAN: Sparse Fast Transformer Fusion Method Based on GAN for Remote Sensing Spatiotemporal Fusion

Remote Sensing
Multi-source remote sensing spatiotemporal fusion aims to enhance the temporal continuity of high-spatial, low-temporal-resolution images. In recent years, deep learning-based spatiotemporal fusion methods have achieved significant progress in this field.
Wei Feng, Xiaowu Zhang, Zhaoxu Ma, Xuan Ma, Kewen Qu, Wenxing Bao   +5 more
core   +2 more sources

A Bidirectional Cross Spatiotemporal Fusion Network with Spectral Restoration for Remote Sensing Imagery

Applied Sciences
Existing deep learning-based spatiotemporal fusion (STF) methods for remote sensing imagery often focus exclusively on capturing temporal changes or enhancing spatial details while failing to fully leverage spectral information from coarse images.
Dandan Zhou, Ke Wu, Gang Xu
doaj   +2 more sources