A Bayesian Data Fusion Approach to Spatio-Temporal Fusion of Remotely Sensed Images

Remote Sensing ◽

10.3390/rs9121310 ◽

2017 ◽

Vol 9 (12) ◽

pp. 1310 ◽

Author(s):

Jie Xue ◽

Yee Leung ◽

Tung Fung

Keyword(s):

Data Fusion ◽

Remotely Sensed ◽

Bayesian Data Fusion ◽

Remotely Sensed Images ◽

Spatio Temporal ◽

Fusion Approach

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Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model

ISPRS Journal of Photogrammetry and Remote Sensing ◽

10.1016/j.isprsjprs.2014.02.015 ◽

2014 ◽

Vol 92 ◽

pp. 54-68 ◽

Author(s):

Qing Cheng ◽

Huanfeng Shen ◽

Liangpei Zhang ◽

Qiangqiang Yuan ◽

Chao Zeng

Keyword(s):

Remotely Sensed ◽

Remotely Sensed Images ◽

Spatio Temporal ◽

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A Extremely Fast Spatio-Temporal Fusion Method for Remotely Sensed Images

10.1109/igarss47720.2021.9554794 ◽

2021 ◽

Author(s):

Yunfei Li ◽

Jun Li ◽

Zhang Shaoquan

Keyword(s):

Remotely Sensed ◽

Fusion Method ◽

Remotely Sensed Images ◽

Spatio Temporal

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Spatial filtering and Bayesian data fusion for mapping soil properties: A case study combining legacy and remotely sensed data in Iran

Geoderma ◽

10.1016/j.geoderma.2019.02.031 ◽

2019 ◽

Vol 344 ◽

pp. 50-62 ◽

Author(s):

Zahra Rasaei ◽

Patrick Bogaert

Keyword(s):

Data Fusion ◽

Soil Properties ◽

Spatial Filtering ◽

Remotely Sensed ◽

Remotely Sensed Data ◽

Bayesian Data Fusion

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Data fusion of satellite remotely sensed images and its application in agriculture

10.1117/12.888029 ◽

2011 ◽

Author(s):

Xiao-yun Zhuang ◽

Run-he Shi ◽

Chao-shun Liu

Keyword(s):

Data Fusion ◽

Remotely Sensed ◽

Remotely Sensed Images

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Multi-sensor data fusion of remotely-sensed images with sparse and logarithmic low-rank regularization for shadow removal and denoising

International Journal of Remote Sensing ◽

10.1080/01431161.2021.1941388 ◽

2021 ◽

Vol 42 (18) ◽

pp. 6961-6983

Author(s):

Feixia Yang ◽

Fei Ma ◽

Shuai Huo ◽

Yanwei Wang

Keyword(s):

Data Fusion ◽

Remotely Sensed ◽

Sensor Data ◽

Low Rank ◽

Shadow Removal ◽

Sensor Data Fusion ◽

Multi Sensor Data Fusion ◽

Remotely Sensed Images

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Characterizing urbanization-induced land surface phenology change from time-series remotely sensed images at fine spatio-temporal scale: A case study in Nanjing, China (2001–2018)

Journal of Cleaner Production ◽

10.1016/j.jclepro.2020.122487 ◽

2020 ◽

Vol 274 ◽

pp. 122487 ◽

Author(s):

Xin Wang ◽

Peijun Du ◽

Dongmei Chen ◽

Cong Lin ◽

Hongrui Zheng ◽

...

Keyword(s):

Time Series ◽

Land Surface ◽

Remotely Sensed ◽

Temporal Scale ◽

Land Surface Phenology ◽

Remotely Sensed Images ◽

Spatio Temporal

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Data Fusion Techniques for Remotely Sensed Images

Time-Varying Image Processing and Moving Object Recognition ◽

10.1016/b978-0-444-81467-8.50035-1 ◽

1994 ◽

pp. 249-256 ◽

Author(s):

A. Chiuderi ◽

S. Fini

Keyword(s):

Data Fusion ◽

Remotely Sensed ◽

Remotely Sensed Images

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Data fusion of remotely sensed images using wavelet transform: the ARSIS solution

10.1117/12.279691 ◽

1997 ◽

Author(s):

Thierry Ranchin ◽

Lucien Wald

Keyword(s):

Wavelet Transform ◽

Data Fusion ◽

Remotely Sensed ◽

Remotely Sensed Images

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Combining land cover products using a minimum divergence and a Bayesian data fusion approach

International Journal of Geographical Information Science ◽

10.1080/13658816.2017.1413577 ◽

2017 ◽

Vol 32 (4) ◽

pp. 806-826 ◽

Author(s):

Sarah Gengler ◽

Patrick Bogaert

Keyword(s):

Data Fusion ◽

Bayesian Data Fusion ◽

Minimum Divergence ◽

Fusion Approach

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Spatio-temporal Analysis of Urban Built-up Land in the Hanoi Metropolitan Area (Vietnam) using Remotely Sensed Images

Asian Review of Environmental and Earth Sciences ◽

10.20448/journal.506.2020.71.61.66 ◽

2020 ◽

Vol 7 (1) ◽

pp. 61-66

Author(s):

Thanh Tien Nguyen

Keyword(s):

Metropolitan Area ◽

Temporal Analysis ◽

Remotely Sensed ◽

Remotely Sensed Images ◽

Spatio Temporal

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