Multisource Hyperspectral and LiDAR Data Fusion for Urban Land-Use Mapping based on a Modified Two-Branch Convolutional Neural Network

Multisource Hyperspectral and LiDAR Data Fusion for Urban Land-Use Mapping based on a Modified Two-Branch Convolutional Neural Network

Accurate urban land-use mapping is a challenging task in the remote-sensing field. With the availability of diverse remote sensors, synthetic use and integration of multisource data provides an opportunity for improving urban land-use classification accuracy. Neural networks for Deep Learning have a...

Full description

Bibliographic Details
Main Authors: Quanlong Feng, Dehai Zhu, Jianyu Yang, Baoguo Li
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:ISPRS International Journal of Geo-Information
Subjects:
convolutional neural networks
multisource data
feature fusion
urban land-use mapping
Online Access:http://www.mdpi.com/2220-9964/8/1/28

Internet

http://www.mdpi.com/2220-9964/8/1/28

Similar Items