CASIA OpenIR  > 模式识别国家重点实验室  > 先进时空数据分析与学习
Hyperspectral and lidar data land-use classification using parallel transformers
Yuxuan, Hu1,2; Hao, He1,2; Lubin, Weng1
2022-07
Conference NameIEEE International Geoscience and Remote Sensing Symposium
Conference Date2022-7-17 -> 2022-7-22
Conference Place线上会议
Abstract

It has been proved that the fusion of hyperspectral and LiDAR data can effectively improve the performance of land-use classification. Hyperspectral data contain more information than LiDAR data but most recent models pay more attention to the design of feature fusion mechanisms. They use CNN which is not powerful enough in extracting spatialspectral features of hyperspectral data. In this paper, a simple yet effective model with parallel transformers is proposed. Transformer is a powerful tool for both feature extraction and feature fusion. One transformer acts as an hyperspectral image feature extractor while the other transformer is responsible for capturing crossmodal interactions. Experiments on Houston dataset and MUUFL Gulfport dataset demonstrate that the proposed model has significantly better performance than other state-of-the-art models.

KeywordHyperspectral LiDAR Data Fusion Transformer Crossmodal
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/48691
Collection模式识别国家重点实验室_先进时空数据分析与学习
Corresponding AuthorLubin, Weng
Affiliation1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
2.School of Artificial Intelligence, University of Chinese Academy of Sciences
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Yuxuan, Hu,Hao, He,Lubin, Weng. Hyperspectral and lidar data land-use classification using parallel transformers[C],2022.
Files in This Item:
File Name/Size DocType Version Access License
Hyperspectral and li(1565KB)会议论文 开放获取CC BY-NC-SAView
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yuxuan, Hu]'s Articles
[Hao, He]'s Articles
[Lubin, Weng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yuxuan, Hu]'s Articles
[Hao, He]'s Articles
[Lubin, Weng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yuxuan, Hu]'s Articles
[Hao, He]'s Articles
[Lubin, Weng]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Hyperspectral and lidar data land-use classification using parallel transformers.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.