Results 251 to 260 of about 32,837 (284)

A New Cross-Fusion Method to Automatically Determine the Optimal Input Image Pairs for NDVI Spatiotemporal Data Fusion

IEEE Transactions on Geoscience and Remote Sensing, 2020
Spatiotemporal data fusion is a methodology to generate images with both high spatial and temporal resolution. Most spatiotemporal data fusion methods generate the fused image at a prediction date based on pairs of input images from other dates. The performance of spatiotemporal data fusion is greatly affected by the selection of the input image pair ...
Yang Chen 0051, Ruyin Cao, Jin Chen 0001, Xiaolin Zhu 0001, Ji Zhou 0001, Guangpeng Wang, Miaogen Shen, Xuehong Chen, Wei Yang 0003   +8 more
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A Fast Multidimensional Data Fusion Algorithm For Hyperspectral Spatiotemporal Super-Resolution

2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2022
Pai-Chuan Chang, Jhao-Ting Lin, Chia-Hsiang Lin, Po-Wei Tang, Yangrui Liu   +4 more
openaire   +1 more source

Geo-Data Fusion Integrator for Object-Oriented Spatiotemporal OLAP Cubes

2014 Fifth International Conference on Computing for Geospatial Research and Application, 2014
We first propose a Geo-Data Fusion Integrator. Specifically, we design a sequential-parallel-modularized (SPM) approach to integrate different datasets into a geo-data object, i.e., a multidimensional unified-OLAP cube, archived in a geo-data warehouse for decision-making analysis. Different datasets of geo-data objects are processed in parallel across
openaire   +1 more source

Sequential Spatiotemporal Bias Compensation and Data Fusion for Maneuvering Target Tracking

IEEE Transactions on Aerospace and Electronic Systems, 2023
Shizhe Bu, Gongjian Zhou
openaire   +1 more source

Simultaneous Spatiotemporal Bias Compensation and Data Fusion for Asynchronous Multisensor Systems

Chinese Journal of Information Fusion
Bias estimation of sensors is an essential prerequisite for accurate data fusion. Neglect of temporal bias in general real systems prevents the existing algorithms from successful application. In this paper, both spatial and temporal biases in asynchronous multisensor systems are investigated and two novel methods for simultaneous spatiotemporal bias ...
Gongjian Zhou, Shizhe Bu, Thiagalingam Kirubarajan   +2 more
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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  

Joint Data Association, Spatiotemporal Bias Compensation and Fusion for Multisensor Multitarget Tracking

IEEE Transactions on Signal Processing, 2023
Shizhe Bu, Gongjian Zhou
openaire   +1 more source

Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction

Remote Sensing of Environment, 2021
Junxiong Zhou, Jin Chen, Xuehong Chen
exaly  

The FIRST model: Spatiotemporal fusion incorrporting spectral autocorrelation

Remote Sensing of Environment, 2022
Shuaijun Liu, Junxiong Zhou, Yuean Qiu   +2 more
exaly  

An object-based spatiotemporal fusion model for remote sensing images

European Journal of Remote Sensing, 2021
Hua Zhang, Wenzhong Shi, Dizhou Guo
exaly