Results 261 to 270 of about 1,249,287 (318)

Spatiotemporal Reflectance Fusion via Tensor Sparse Representation

IEEE Transactions on Geoscience and Remote Sensing, 2022
Tradeoffs between the spatial and temporal resolutions of current satellite instruments limit our ability to conduct high-quality and continuous monitoring of the earth's surface dynamics. Spatiotemporal image fusion has become increasingly necessary to obtain remote sensing images with high spatiotemporal resolution.
Yidong Peng, Weisheng Li 0001, Xiaobo Luo, Jiao Du, Xiayan Zhang, Yi Gan, Xinbo Gao 0001   +6 more
openaire   +1 more source

A Decade of Deep Learning for Remote Sensing Spatiotemporal Fusion: Advances, Challenges, and Opportunities

Information Fusion
Remote sensing spatiotemporal fusion (STF) addresses the fundamental trade-off between temporal and spatial resolution by combining high temporal-low spatial and high spatial-low temporal imagery.
Enzhe Sun, Yongchuan Cui, Peng Liu, Jining Yan   +3 more
semanticscholar   +1 more source

STFDiff: Remote sensing image spatiotemporal fusion with diffusion models

Information Fusion
Wei He, Hongyan Zhang, Liangpei Zhang
exaly   +2 more sources

Ritual Renewal and Spatiotemporal Fusion

2022
This chapter examines the diasporic relationship through the lens of ritual. It traces how the revival of ancestor worship from 1981 was actually its relocalization, since its practice was moved overseas during the period when it was prohibited on the mainland.
openaire   +1 more source

Spatiotemporal Data Cleaning and Knowledge Fusion

2021
Knowledge fusion aims to establish the relation-ship between heterogeneous ontology or heterogeneous instances. Data cleaning is one of the underlying key technologies supporting knowledge fusion. In this chapter, we give a brief overview of some important technologies of knowledge fusion and data cleaning. We first briefly introduce the motivation and
Huchen Zhou, Mohan Li, Zhaoquan Gu, Zhihong Tian   +3 more
openaire   +1 more source

Multiattention Spatiotemporal Fusion Graph Neural Network for Chemical Process Fault Diagnosis

IEEE Transactions on Instrumentation and Measurement
Fault diagnosis of complex industrial processes becomes challenging due to temporal and spatial dependencies in process data. This means that the emergence and evolution of faults are affected not only by temporal factors, but also by the spatial ...
Yuan Xu, Chuan Zhang, Yi Luo, Wei Ke, Qun Zhu, Yanglangxing He, Yang Zhang, Mingqing Zhang   +7 more
semanticscholar   +1 more source

The GAN Spatiotemporal Fusion Model Based on Multiscale Convolution and Attention Mechanism for Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
High spatial and temporal resolution remote sensing images are essential for monitoring vegetation, natural disasters, and changes in the ground surface.
Youping Xie, Jun Hu, Kang He, Li Cao, Kaijun Yang, Luo Chen   +5 more
semanticscholar   +1 more source

3DSF: three-dimensional spatiotemporal fusion

SPIE Proceedings, 2011
In this paper we explore image fusion methods for 3D LIDAR sensors, thermal sensors, and visible color sensors. Traditional display methods are demonstrated in contrast to the proposed robust representations. The new fused representations make full use of the display gamut of a color monitor.
Matthew S. Baran, Richard L. Tutwiler, David L. Hall, Donald J. Natale   +3 more
openaire   +1 more source

A Two-Stage Hierarchical Spatiotemporal Fusion Network for Land Surface Temperature With Transformer

IEEE Transactions on Geoscience and Remote Sensing
The potential applications of high spatiotemporal resolution land surface temperature (LST) products are extensive. However, the tradeoff between spatial and temporal resolutions of remote sensing data has significantly constrained the availability of ...
Penghua Hu, Xin Pan, Yingbao Yang, Yang Dai, Yuncheng Chen   +4 more
semanticscholar   +1 more source

STAR: A Unified Spatiotemporal Fusion Framework for Satellite Video Object Tracking

IEEE Transactions on Geoscience and Remote Sensing
Satellite video object tracking (SVOT) delivers comprehensive spatiotemporal insights for Earth surface observation, yet existing SVOT methods confront several critical challenges, including data scarcity, modality restrictions, paradigm gaps, and ...
Yuzeng Chen, Qiangqiang Yuan, Yi Xiao, Yuqi Tang, Jiang He, Te Han   +5 more
semanticscholar   +1 more source