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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
Prediction of sea-surface salinity using MODIS and Sentinel-3 data 利用 MODIS 和 Sentinel-3 数据预测海面盐度
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-03-14 DOI: 10.1080/2150704x.2024.2329525
Pankaj Patidar, Dnyaneshwar Gawai, Somsubhra Chakraborty, Subhadip Dey
{"title":"Prediction of sea-surface salinity using MODIS and Sentinel-3 data","authors":"Pankaj Patidar, Dnyaneshwar Gawai, Somsubhra Chakraborty, Subhadip Dey","doi":"10.1080/2150704x.2024.2329525","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2329525","url":null,"abstract":"Precise estimation of Sea Surface Salinity (SSS) is of prime importance to know marine physical and biochemical processes. In this manuscript we have utilized the Random Forest (RF) and Support Vec...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"56 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140165748","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
Spatial–temporal patterns of ecological changes in the Dongting Lake region and their responses to climate factors and human activities 洞庭湖区生态变化的时空格局及其对气候因素和人类活动的响应
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-03-13 DOI: 10.1080/2150704x.2024.2319653
Shunshi Hu, Yunqian Zhou, Yi Cen
{"title":"Spatial–temporal patterns of ecological changes in the Dongting Lake region and their responses to climate factors and human activities","authors":"Shunshi Hu, Yunqian Zhou, Yi Cen","doi":"10.1080/2150704x.2024.2319653","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2319653","url":null,"abstract":"The Dongting Lake region is an important ecological and environmental protection zone in the Yangtze River Economic Belt of China. Long-term monitoring and evaluation of its ecological environment ...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"43 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140115968","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
Downscaling MODIS NDSI to Sentinel-2 fractional snow cover by random forest regression 通过随机森林回归将 MODIS NDSI 降级为 Sentinel-2 分数雪覆盖率
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-03-13 DOI: 10.1080/2150704x.2024.2327084
Andreas Kollert, Andreas Mayr, Stefan Dullinger, Karl Hülber, Dietmar Moser, Stef Lhermitte, Simon Gascoin, Martin Rutzinger
{"title":"Downscaling MODIS NDSI to Sentinel-2 fractional snow cover by random forest regression","authors":"Andreas Kollert, Andreas Mayr, Stefan Dullinger, Karl Hülber, Dietmar Moser, Stef Lhermitte, Simon Gascoin, Martin Rutzinger","doi":"10.1080/2150704x.2024.2327084","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2327084","url":null,"abstract":"Imagery acquired by the Moderate-resolution Imaging Spectroradiometer (MODIS) provides a global archive of dailyNormalized Difference Snow Index (NDSI) at 500 m nominal resolution since the year 20...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"105 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140165674","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
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