Advances in fusion of optical imagery and LiDAR point cloud applied to photogrammetry and remote sensing

By Jixian Zhang, Xiangguo Lin. 2017

126 citations recorded by the source corpus.

Subfields: Environmental Engineering, Geology, Media Technology

View Paper: https://www.semanticscholar.org/paper/93cb2bccc28a23134e3fff701829d3868bcfbd08

How researchers see this paper

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

In Environmental Engineering

1. Lorenzo Bruzzone
2. Peter M. Atkinson
3. Pedram Ghamisi
4. Qunming Wang
5. Francesca Bovolo

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

• Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review (2022, background): “, registration, pansharpening, target extraction, estimation of forest biomass (Zhang and Lin, 2017).”
• Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art (2019, background): “Zhang and Lin [104] gave a broad overview of applications involving the fusion of optical imagery and lidar point clouds.”