Feature-Decision Level Collaborative Fusion Network for Hyperspectral and LiDAR Classification

Feature-Decision Level Collaborative Fusion Network for Hyperspectral and LiDAR Classification

The fusion-based classification of hyperspectral (HS) and light detection and ranging (LiDAR) images has become a prominent research topic, as their complementary information can effectively improve classification performance. The current methods encompass pixel-, feature- and decision-level fusion....

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Bibliographic Details
Main Authors: Shenfu Zhang, Xiangchao Meng, Qiang Liu, Gang Yang, Weiwei Sun
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
hyperspectral (HS)
light detection and ranging (LiDAR)
feature fusion
decision fusion
remote sensing classification
Online Access:https://www.mdpi.com/2072-4292/15/17/4148

Internet

https://www.mdpi.com/2072-4292/15/17/4148

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