Mutual-Information-Based Registration of TerraSAR-X and Ikonos Imagery in Urban Areas
By Sahil Suri, Peter Reinartz. IEEE Transactions on Geoscience and Remote Sensing, 2010
313 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/341a2321ac62933d59227b21868c88fff67af445
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Richard Bamler
- Xiaoxiang Zhu
- Francesca Bovolo
- Lorenzo Bruzzone
- Xiaojie Guo
- Jie Shan
- Xingyu Jiang
- Guobao Xiao
In Computer Vision and Pattern Recognition
- Jiayi Ma
- Zhenfeng Shao
- Xiaojie Guo
- Guobao Xiao
- Xingyu Jiang
- Francesca Bovolo
- Lorenzo Bruzzone
- Lichao Mou
In Media Technology
- Lorenzo Bruzzone
- Francesca Bovolo
- Lichao Mou
- Jiayi Ma
- Xiaoxiang Zhu
- Xiaojie Guo
- Zhenfeng Shao
- Guobao Xiao
Citations in the corpus
- Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives (2020, background): “Experimental results indicate that this deep learning-based method outperforms state-of-the-art matching approaches [169], [170].”
- Fast and Robust Matching for Multimodal Remote Sensing Image Registration (2019, background): “Recent studies also showed that MI is suitable for multimodal remote sensing image matching [26], [27].”
- A review of multimodal image matching: Methods and applications (2021, methodology): “An MI-peak metric was introduced in [393] to achieve automatic registration of high-resolution TerraSAR-X and Ikonos images acquired specifically over urban areas.”