A flexible spatiotemporal method for fusing satellite images with different resolutions
By Xiaolin Zhu, E. Helmer, Feng Gao, Desheng Liu, Jin Chen, Michael Andrew Lefsky. 2016
667 citations recorded by the source corpus.
Subfields: Ecology, Media Technology
View Paper: https://www.semanticscholar.org/paper/f92b509b41a5fee274c1b540153e965718c00b4c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Francesca Bovolo
- Lorenzo Bruzzone
- Xiaolin Zhu
- Jiaqi Tian
- Fangyi Cai
- Trecia Kay-Ann Williams
- Jon Atli Benediktsson
- Pedram Ghamisi
In Media Technology
- Lorenzo Bruzzone
- Jon Atli Benediktsson
- Pedram Ghamisi
- Francesca Bovolo
- Behnood Rasti
- Antonio J. Plaza
- Naoto Yokoya
- Jocelyn Chanussot
Citations in the corpus
- Spatio-temporal fusion for daily Sentinel-2 images (2018, methodology): “FSDAF can reproduce more spatial variation for objects than SU and the spectral information can be 382 more accurately preserved.”
- Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions (2018, methodology): “For example, FSDAF employs the thin plate spine (TPS) to downscale the coarse image to the fine resolution and then uses the result to guide the residual distribution for pixels experiencing land cover change.”
- Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art (2019, methodology): “com/science/article/pii/S0034425716304023 [32] X.”