Optimal Decision Fusion for Urban Land-Use/Land-Cover Classification Based on Adaptive Differential Evolution Using Hyperspectral and LiDAR Data

Optimal Decision Fusion for Urban Land-Use/Land-Cover Classification Based on Adaptive Differential Evolution Using Hyperspectral and LiDAR Data

Hyperspectral images and light detection and ranging (LiDAR) data have, respectively, the high spectral resolution and accurate elevation information required for urban land-use/land-cover (LULC) classification. To combine the respective advantages of hyperspectral and LiDAR data, this paper propose...

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Bibliographic Details
Main Authors: Yanfei Zhong, Qiong Cao, Ji Zhao, Ailong Ma, Bei Zhao, Liangpei Zhang
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Remote Sensing
Subjects:
data fusion
hyperspectral
LiDAR
differential evolution
decision fusion
land-use/land-cover classification
Online Access:https://www.mdpi.com/2072-4292/9/8/868

Internet

https://www.mdpi.com/2072-4292/9/8/868

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