发布求助
文献互助 智能选刊 最新文献

Remote Sensing Letters最新文献

筛选
英文 中文
Bayesian fusion of multispectral and panchromatic images using a multi-mode and multiorder gradient tensor-based l1/2 sparse model 利用基于多模式和多阶梯度张量的 l1/2 稀疏模型，以贝叶斯方法融合多光谱和全色图像
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-04-26 DOI: 10.1080/2150704x.2024.2337823
Pengfei Liu, Nan Huang, Zhizhong Zheng
{"title":"Bayesian fusion of multispectral and panchromatic images using a multi-mode and multiorder gradient tensor-based l1/2 sparse model","authors":"Pengfei Liu, Nan Huang, Zhizhong Zheng","doi":"10.1080/2150704x.2024.2337823","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2337823","url":null,"abstract":"In this letter, based on the tensor representation modelling, we propose a multi-mode and multi-order gradient tensor-based non-convex model (M2GTNM) for Bayesian fusion of multispectral (MS) and p...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"81 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140887227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improving atmospheric correction for KOMPSAT-3A by optimizing the 6SV look-up table 通过优化 6SV 查找表改进 KOMPSAT-3A 的大气校正
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-04-20 DOI: 10.1080/2150704x.2024.2343130
Daeseong Jeong, Noh-Hun Seong, Sungwon Choi, Suyoung Sim, Jongho Woo, Nayeon Kim, Sungwoo Park, Kyung-Soo Han
{"title":"Improving atmospheric correction for KOMPSAT-3A by optimizing the 6SV look-up table","authors":"Daeseong Jeong, Noh-Hun Seong, Sungwon Choi, Suyoung Sim, Jongho Woo, Nayeon Kim, Sungwoo Park, Kyung-Soo Han","doi":"10.1080/2150704x.2024.2343130","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2343130","url":null,"abstract":"We present techniques for enhancing the look-up table (LUT) method, using the Second Simulation of a Satellite Signal in the Solar Spectrum Vector (6 SV) model for atmospheric correction (AC) and a...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"22 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140628954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AFDet: alignment and focusing for aerial object detection AFDet：用于空中物体探测的对准和聚焦
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-04-09 DOI: 10.1080/2150704x.2024.2311775
Yecheng Liang, Shigang Wang, Meimei Chen, Jian Wei, Yan Zhao
{"title":"AFDet: alignment and focusing for aerial object detection","authors":"Yecheng Liang, Shigang Wang, Meimei Chen, Jian Wei, Yan Zhao","doi":"10.1080/2150704x.2024.2311775","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2311775","url":null,"abstract":"Object detection in aerial images has become a focus in recent years due to the expansion of its application fields. Aerial objects have the characteristics of multi-scale, arbitrary angle and dens...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"82 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140602712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Tensor structure-based ground clutter suppression approaches for pulse doppler radar 基于张量结构的脉冲多普勒雷达地面杂波抑制方法
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-04-03 DOI: 10.1080/2150704x.2024.2334195
Bangzhen Xu, Xingyu Lu, Hong Gu, Weimin Su
{"title":"Tensor structure-based ground clutter suppression approaches for pulse doppler radar","authors":"Bangzhen Xu, Xingyu Lu, Hong Gu, Weimin Su","doi":"10.1080/2150704x.2024.2334195","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2334195","url":null,"abstract":"For pulse doppler (PD) radar, two tensor structure-based methods are proposed to improve the clutter suppression performance. One is tensor singular value decomposition (TSVD) and the other is tens...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"20 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140602710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SGMFNet: a remote sensing image object detection network based on spatial global attention and multi-scale feature fusion SGMFNet：基于空间全局关注和多尺度特征融合的遥感图像目标检测网络
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-04-03 DOI: 10.1080/2150704x.2024.2334194
Xiaolin Gong, Daqing Liu
{"title":"SGMFNet: a remote sensing image object detection network based on spatial global attention and multi-scale feature fusion","authors":"Xiaolin Gong, Daqing Liu","doi":"10.1080/2150704x.2024.2334194","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2334194","url":null,"abstract":"When natural image detection methods are applied to remote sensing images, their detection performance is often unsatisfactory due to the random distribution of objects, complex backgrounds, and si...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"28 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140602702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A method for detecting the number of wheat ears based on the improved YOLOX model 基于改进的 YOLOX 模型的麦穗数检测方法
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-03-26 DOI: 10.1080/2150704x.2024.2318755
Xiaolu Yan, Qin Ma, Quanlong Feng
{"title":"A method for detecting the number of wheat ears based on the improved YOLOX model","authors":"Xiaolu Yan, Qin Ma, Quanlong Feng","doi":"10.1080/2150704x.2024.2318755","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2318755","url":null,"abstract":"Ear count serves as a crucial parameter for estimating wheat yield, holding great significance in crop phenotypic parameter calculations, yield predictions and wheat ear density management. To accu...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"51 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140312811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Efficient low-overlapping point cloud registration based on two-stage network learning 基于两级网络学习的高效低重叠点云注册
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-03-25 DOI: 10.1080/2150704x.2024.2331974
Zhenghua Zhang, Guoliang Chen, Xuan Wang
{"title":"Efficient low-overlapping point cloud registration based on two-stage network learning","authors":"Zhenghua Zhang, Guoliang Chen, Xuan Wang","doi":"10.1080/2150704x.2024.2331974","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2331974","url":null,"abstract":"This letter introduces an efficient registration method for large-scale point clouds with low overlap, which adopts a two-stage transformation learning process. In the first stage, we integrate a p...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"30 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140299326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Detecting rotated ships in SAR images using a streamlined ship detection network and gliding phases 利用精简的船舶探测网络和滑行阶段探测合成孔径雷达图像中的旋转船舶
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-03-25 DOI: 10.1080/2150704x.2024.2334193
Wenbo Yu, Jiamu Li, Zijian Wang, Zhongjun Yu, Yunhua Luo, Yabo Liu, Jie Feng
{"title":"Detecting rotated ships in SAR images using a streamlined ship detection network and gliding phases","authors":"Wenbo Yu, Jiamu Li, Zijian Wang, Zhongjun Yu, Yunhua Luo, Yabo Liu, Jie Feng","doi":"10.1080/2150704x.2024.2334193","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2334193","url":null,"abstract":"Deep learning methods have greatly promoted the ship detection performance in synthetic aperture radar (SAR) images. However, due to the different imaging mechanisms and target characteristics, det...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"6 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140299592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A thermal infrared remote sensing approach for estimating soil porosity 估算土壤孔隙度的热红外遥感方法
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-03-18 DOI: 10.1080/2150704x.2024.2329526
Saeid Asadzadeh, Carlos Roberto de Souza Filho
{"title":"A thermal infrared remote sensing approach for estimating soil porosity","authors":"Saeid Asadzadeh, Carlos Roberto de Souza Filho","doi":"10.1080/2150704x.2024.2329526","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2329526","url":null,"abstract":"Porosity is a significant property of soil, yet an elusive parameter to retrieve from remote sensing data. Here, an empirical relationship between soil water contents and infrared emissivity is emp...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"36 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140165704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A global patch similarity-based graph for unsupervised SAR image change detection 用于无监督合成孔径雷达图像变化检测的基于全局斑块相似性的图形
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-03-17 DOI: 10.1080/2150704x.2024.2327085
Jun Wang, Fei Zeng, Anjun Zhang, Ting You
{"title":"A global patch similarity-based graph for unsupervised SAR image change detection","authors":"Jun Wang, Fei Zeng, Anjun Zhang, Ting You","doi":"10.1080/2150704x.2024.2327085","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2327085","url":null,"abstract":"This letter presents a novel method for synthetic aperture radar (SAR) image change detection using the global patch similarity-based graph (GPSG). First, the SAR image is divided into a number of ...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"255 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140205341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
0
×
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
请完成安全验证×
相关产品
×
本文献相关产品
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书