Extraction of Urban Objects in Cloud Shadows on the basis of Fusion of Airborne LiDAR and Hyperspectral Data

Extraction of Urban Objects in Cloud Shadows on the basis of Fusion of Airborne LiDAR and Hyperspectral Data

Feature extraction in cloud shadows is a difficult problem in the field of optical remote sensing. The key to solving this problem is to improve the accuracy of classification algorithms by fusing multi-source remotely sensed data. Hyperspectral data have rich spectral information but highly suffer...

Full description

Bibliographic Details
Main Authors: Qixia Man, Pinliang Dong
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Remote Sensing
Subjects:
LiDAR data
hyperspectral data
shadow extraction
decision fusion
multi-resolution object-based classifier
support vector machine classifier
Online Access:https://www.mdpi.com/2072-4292/11/6/713

Internet

https://www.mdpi.com/2072-4292/11/6/713

Similar Items