Hyperspectral and Multispectral Data Fusion: A comparative review of the recent literature

By Naoto Yokoya, Claas Grohnfeldt, Jocelyn Chanussot. IEEE Geoscience and Remote Sensing Magazine, 2017

601 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Media Technology

View Paper: https://www.semanticscholar.org/paper/e734d92f1494cc23fb8f64d5d40da49acfe62572

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Danfeng Hong
2. Jocelyn Chanussot
3. Lorenzo Bruzzone
4. Francesca Bovolo
5. Jing Yao
6. Bing Zhang
7. Lianru Gao
8. Jon Atli Benediktsson

In Media Technology

1. Jocelyn Chanussot
2. Jon Atli Benediktsson
3. Lorenzo Bruzzone
4. Danfeng Hong
5. Pedram Ghamisi
6. Jing Yao
7. Antonio J. Plaza
8. Shutao Li

Citations in the corpus

• Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art (2019, background): “[41] N.”
• Deep Hyperspectral Image Sharpening (2018, unknown): “The first index is the peak SNR (PSNR).”
• Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review (2022, methodology): “HS-MS fusion (Yokoya et al., 2017) Extensive experiments are presented to assess the methods from CS, MRA, unmixing, and bayesian (Dian et al.”