Landcover classification using LiDAR and Hyperspectral data Fusion

Learn to perform robust landcover classification using the fusion of hyperspectral and LiDAR data. This article is Part 3 in the Landcover classification series. In the 1st part, we learned about using a single pixel from LiDAR for landcover classification. In the 2nd part, we learned to use an NxN neighborhood around the pixel from LiDAR for classification. In this article, we will use the fusion of Hyperspectral Imagery (HSI) and LiDAR data to improve the classification performance. Therefore, merging information from multiple sensors will provide insight into the region of interest.