Deep Residual Network-Based Fusion Framework for Hyperspectral and LiDAR Data

Deep Residual Network-Based Fusion Framework for Hyperspectral and LiDAR Data

This article presents a deep residual network-based fusion framework for hyperspectral and LiDAR data. In this framework, three new fusion methods are proposed, which are the residual network-based deep feature fusion (RNDFF), the residual network-based probability reconstruction fusion (RNPRF) and...

Full description

Bibliographic Details
Main Authors: Chiru Ge, Qian Du, Weiwei Sun, Keyan Wang, Jiaojiao Li, Yunsong Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep residual network
extinction profile
Goddard 's LiDAR
hyperspectral
hyperspectral and thermal (G-LiHT) data
image fusion
Online Access:https://ieeexplore.ieee.org/document/9336235/

Internet

https://ieeexplore.ieee.org/document/9336235/

Similar Items