{"title":"小波频通道在遥感图像分割中的应用","authors":"Yu-Chen Su, Tsung-Jung Liu, Kuan-Hsien Liu","doi":"10.1109/ICCE-Taiwan55306.2022.9869039","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":164671,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Wavelet Frequency Channel Attention on Remote Sensing Image Segmentation\",\"authors\":\"Yu-Chen Su, Tsung-Jung Liu, Kuan-Hsien Liu\",\"doi\":\"10.1109/ICCE-Taiwan55306.2022.9869039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":164671,\"journal\":{\"name\":\"2022 IEEE International Conference on Consumer Electronics - Taiwan\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Consumer Electronics - Taiwan\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Consumer Electronics - Taiwan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wavelet Frequency Channel Attention on Remote Sensing Image Segmentation
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
