A metaheuristic feature-level fusion strategy in classification of urban area using hyperspectral imagery and LiDAR data

A metaheuristic feature-level fusion strategy in classification of urban area using hyperspectral imagery and LiDAR data

One of the most sophisticated recent data fusions in remote sensing has involved the use of LiDAR and hyperspectral data. Feature-level fusion strategy is applied based on extraction of several recent proposed spectral and structural features from hyperspectral and LiDAR data, respectively. In order...

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Bibliographic Details
Main Authors: Hadiseh Hasani, Farhad Samadzadegan, Peter Reinartz
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:European Journal of Remote Sensing
Subjects:
Classification
urban area
hyperspectral
LiDAR
cuckoo search
SVM
Online Access:http://dx.doi.org/10.1080/22797254.2017.1314179

Internet

http://dx.doi.org/10.1080/22797254.2017.1314179

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