Encoding Contextual Information by Interlacing Transformer and Convolution for Remote Sensing Imagery Semantic Segmentation

Encoding Contextual Information by Interlacing Transformer and Convolution for Remote Sensing Imagery Semantic Segmentation

Contextual information plays a pivotal role in the semantic segmentation of remote sensing imagery (RSI) due to the imbalanced distributions and ubiquitous intra-class variants. The emergence of the transformer intrigues the revolution of vision tasks with its impressive scalability in establishing...

Full description

Bibliographic Details
Main Authors: Xin Li, Feng Xu, Runliang Xia, Tao Li, Ziqi Chen, Xinyuan Wang, Zhennan Xu, Xin Lyu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
semantic segmentation
Swin Transformer
local patterns and distant dependencies
feature aggregation
well-rounded context
Online Access:https://www.mdpi.com/2072-4292/14/16/4065

Internet

https://www.mdpi.com/2072-4292/14/16/4065

Similar Items