JOURNAL ARTICLE

Remote sensing image segmentation model based on attention mechanism

Hanting Wang

Year: 2022 Journal:   2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Vol: 19 Pages: 403-405

Abstract

Remote sensing images are often very large in size, which is difficult to put into GPU for training. Previous work proposed models of global and local branches. On the basis of this model, we add attention mechanism to make feature integration more complete. The results show that our method works well.

Keywords:
Computer science Mechanism (biology) Feature (linguistics) Segmentation Image segmentation Artificial intelligence Computer vision Image (mathematics) Work (physics) Remote sensing Geology Engineering

Metrics

3
Cited By
0.21
FWCI (Field Weighted Citation Impact)
16
Refs
0.54
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Remote-Sensing Image Classification
Physical Sciences →  Engineering →  Media Technology
Advanced Neural Network Applications
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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