Wavelet Frequency Channel Attention on Remote Sensing Image Segmentation

被引：0

作者：

Su, Yu-Chen ^{[1
,2
]}

Liu, Tsung-Jung ^{[1
,2
]}

Liu, Kuan-Hsien ^{[3
]}

机构：

[1] Natl Chung Hsing Univ, Dept Elect Engn, Taichung, Taiwan

[2] Natl Chung Hsing Univ, Grad Inst Commun Engn, Taichung, Taiwan

[3] Natl Taichung Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taichung, Taiwan

来源：

2022 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN, IEEE ICCE-TW 2022 | 2022年

关键词：

D O I：

10.1109/ICCE-TAIWAN55306.2022.9869039

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In recent development of semantic segmentation, the deep convolutional encoder-decoder has become mainstream schemes for remote sensing images. In this paper, we proposed a U-Net like architecture for segmentation of remote sensing images using wavelet frequency channel attention (WFCA) blocks.

引用

页码：285 / 286

页数：2

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