Pixel-based Land Cover Classification by Fusing Hyperspectral and Lidar Data

Abstract

Land cover classification has many applications like forest management, urban planning, land use change identification and environment change analysis. The passive sensing of hyperspectral systems can be effective in describing the phenomenology of the observed area over hundreds of (narrow) spectral bands. On the other hand, the active sensing of LiDAR… (More)

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11 Figures and Tables