Data fusion: hyperspectral + Lidar

Matlab Codes for Fusion of Hyperspectral and LiDAR data

Matlab Codes for Fusion of Hyperspectral and LiDAR data
Wenzhi Liao, Aleksandra Pižurica, Rik Bellens, Sidharta Gautama, and Wilfried Philips.

IEEE Geoscience and Remote Sensing Letters
Volume: 12 , Issue: 3
Publication Year: 2015

Nowadays, advanced technology in remote sensing allows us to get multi-sensor and multi-resolution data from the same region. However, fusion of these data sources for classification remains challenging problems.

We proposed a graph-based fusion method to couple dimensionality reduction and data fusion of multi-sensor remote sensing data. Our approach by fusing hyperspectral and LiDAR data for classification won the “Best Paper Challenge” Award of the 2013 IEEE GRSS Data Fusion Contest.

Attached Files
# File Type File Size Download
1 .pdf 1.22 MB Liao_GRSL2015_paper
2 .zip 719.13 MB Liao_2013DataFusion_toolbox