A Semantic Segmentation Method for Remote Sensing Images Based on the Swin Transformer Fusion Gabor Filter

A Semantic Segmentation Method for Remote Sensing Images Based on the Swin Transformer Fusion Gabor Filter

Semantic segmentation of remote sensing images is increasingly important in urban planning, autonomous driving, disaster monitoring, and land cover classification. With the development of high-resolution remote sensing satellite technology, multilevel, large-scale, and high-precision segmentation ha...

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Bibliographic Details
Main Authors: Dongdong Feng, Zhihua Zhang, Kun Yan
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
FAM
Gabor filter
remote sensing
semantic segmentation
Swin transformer
Online Access:https://ieeexplore.ieee.org/document/9837069/

Internet

https://ieeexplore.ieee.org/document/9837069/

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