Joint superpixel and Transformer for high resolution remote sensing image classification

Joint superpixel and Transformer for high resolution remote sensing image classification

Abstract Deep neural networks combined with superpixel segmentation have proven to be superior to high-resolution remote sensing image (HRI) classification. Currently, most HRI classification methods that combine deep learning and superpixel segmentation use stacking on multiple scales to extract co...

Full description

Bibliographic Details
Main Authors: Guangpu Dang, Zhongan Mao, Tingyu Zhang, Tao Liu, Tao Wang, Liangzhi Li, Yu Gao, Runqing Tian, Kun Wang, Ling Han
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Remote sensing image
Image classification
Superpixel
Transformer
Deep learning
Online Access:https://doi.org/10.1038/s41598-024-55482-y

Internet

https://doi.org/10.1038/s41598-024-55482-y

Similar Items