HCPNet:基于少拍遥感影像场景分类的判别原型学习

IF 7.5 1区 地球科学 Q1 Earth and Planetary Sciences International Journal of Applied Earth Observation and Geoinformation Pub Date : 2023-09-01 DOI:10.1016/j.jag.2023.103447
Junjie Zhu, Ke Yang, Naiyang Guan, Xiaodong Yi, C. Qiu
{"title":"HCPNet:基于少拍遥感影像场景分类的判别原型学习","authors":"Junjie Zhu, Ke Yang, Naiyang Guan, Xiaodong Yi, C. Qiu","doi":"10.1016/j.jag.2023.103447","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":50341,"journal":{"name":"International Journal of Applied Earth Observation and Geoinformation","volume":null,"pages":null},"PeriodicalIF":7.5000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"HCPNet: Learning discriminative prototypes for few-shot remote sensing image scene classification\",\"authors\":\"Junjie Zhu, Ke Yang, Naiyang Guan, Xiaodong Yi, C. Qiu\",\"doi\":\"10.1016/j.jag.2023.103447\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":50341,\"journal\":{\"name\":\"International Journal of Applied Earth Observation and Geoinformation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Applied Earth Observation and Geoinformation\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jag.2023.103447\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Earth and Planetary Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Applied Earth Observation and Geoinformation","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1016/j.jag.2023.103447","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
引用次数: 1
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
HCPNet: Learning discriminative prototypes for few-shot remote sensing image scene classification
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
10.20
自引率
8.00%
发文量
49
审稿时长
7.2 months
期刊介绍: The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.
期刊最新文献
Automatic seismic source modeling of InSAR displacements HCPNet: Learning discriminative prototypes for few-shot remote sensing image scene classification 3D building similarity for a random single-view-image pair based on a local 3D shape A polarization-spectrum fusion framework based on multiscale transform and generative adversarial network for improving water and different vegetation distinguishability Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1