Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/78685
| Title: | Assessment of spatiotemporal fusion algorithms for planet and worldview images | Authors: | Kwan, C Zhu, XL Gao, F Chou, BY Perez, D Li, J Shen, YZ Koperski, K Marchisio, G |
Issue Date: | 2018 | Source: | Sensors (Switzerland), Apr. 2018, v. 18, no. 4, 1051 | Abstract: | Although Worldview-2 (WV) images (non-pansharpened) have 2-m resolution, the re-visit times for the same areas may be seven days or more. In contrast, Planet images are collected using small satellites that can cover the whole Earth almost daily. However, the resolution of Planet images is 3.125 m. It would be ideal to fuse these two satellites images to generate high spatial resolution (2 m) and high temporal resolution (1 or 2 days) images for applications such as damage assessment, border monitoring, etc. that require quick decisions. In this paper, we evaluate three approaches to fusing Worldview (WV) and Planet images. These approaches are known as Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM), Flexible Spatiotemporal Data Fusion (FSDAF), and Hybrid Color Mapping (HCM), which have been applied to the fusion of MODIS and Landsat images in recent years. Experimental results using actual Planet and Worldview images demonstrated that the three aforementioned approaches have comparable performance and can all generate high quality prediction images. | Keywords: | Image fusion Planet Worldview Pansharpening Forward prediction Spatiotemporal |
Publisher: | Molecular Diversity Preservation International (MDPI) | Journal: | Sensors (Switzerland) | ISSN: | 1424-8220 | DOI: | 10.3390/s18041051 | Rights: | Copyright © 2018 ZhonghuWu et al. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The following publication Kwan, C., Zhu, X., Gao, F., Chou, B., Perez, D., Li, J., . . . Marchisio, G. (2018). Assessment of spatiotemporal fusion algorithms for planet and worldview images. Sensors (Switzerland), 18(4), 1051 is available at https://doi.org/10.3390/s18041051 |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Kwan_Assessment_Spatiotemporal_Fusion.pdf | 62.95 MB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
78
Last Week
1
1
Last month
Citations as of Sep 17, 2023
Downloads
79
Citations as of Sep 17, 2023
SCOPUSTM
Citations
34
Citations as of Sep 21, 2023
WEB OF SCIENCETM
Citations
31
Last Week
0
0
Last month
Citations as of Sep 21, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.