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Beyond satellite imagery: the influence of map representations on socio-economic prediction 超越卫星图像：地图表示法对社会经济预测的影响
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-06-17 DOI: 10.1080/2150704x.2024.2359097
David Koch, Simon Thaler, Zedong Zhang, Miroslav Despotovic
{"title":"Beyond satellite imagery: the influence of map representations on socio-economic prediction","authors":"David Koch, Simon Thaler, Zedong Zhang, Miroslav Despotovic","doi":"10.1080/2150704x.2024.2359097","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2359097","url":null,"abstract":"Incorporating satellite imagery is crucial for remote sensing and computer vision in socio-economic studies. Machine learning techniques are typically used to extract valuable information from sate...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"39 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141502312","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
Assessment of post-pandemic economic recovery in Beijing, China, using night-time light data 利用夜间光照数据评估中国北京大流行后的经济恢复情况
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-05-31 DOI: 10.1080/2150704x.2024.2359098
Feng Li, Shunbao Liao, Wenlong Liu
{"title":"Assessment of post-pandemic economic recovery in Beijing, China, using night-time light data","authors":"Feng Li, Shunbao Liao, Wenlong Liu","doi":"10.1080/2150704x.2024.2359098","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2359098","url":null,"abstract":"The coronavirus disease 2019 (COVID-19) pandemic posed a significant impact on human society, resulting in substantial changes in night-time light (NTL). This study developed a novel NTL index to e...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"13 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141547129","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 noise-robust water segmentation method based on synthetic aperture radar images combined with automatic sample collection 基于合成孔径雷达图像与自动样本采集相结合的去噪水体分割方法
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-05-31 DOI: 10.1080/2150704x.2024.2359096
Zhuoyan Hou, Mengmeng Meng, Guichao Zhou, Xuedong Zhang, Mingjun Cao, Junhao Qian, Ning Li, Yabo Huang, Lin Wu, Linglin Xie
{"title":"A noise-robust water segmentation method based on synthetic aperture radar images combined with automatic sample collection","authors":"Zhuoyan Hou, Mengmeng Meng, Guichao Zhou, Xuedong Zhang, Mingjun Cao, Junhao Qian, Ning Li, Yabo Huang, Lin Wu, Linglin Xie","doi":"10.1080/2150704x.2024.2359096","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2359096","url":null,"abstract":"Synthetic Aperture Radar (SAR) images have been widely used for surface water identification due to their all-weather capabilities. However, the presence of inherent speckle noise in SAR data poses...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"15 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141552382","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 class distribution learning method for few-shot remote sensing scene classification 用于少镜头遥感场景分类的类分布学习方法
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-05-06 DOI: 10.1080/2150704x.2024.2347523
Ming Zhao, Yang Liu
{"title":"A class distribution learning method for few-shot remote sensing scene classification","authors":"Ming Zhao, Yang Liu","doi":"10.1080/2150704x.2024.2347523","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2347523","url":null,"abstract":"In recent years, few-shot remote sensing scene classification has become an important foundational research topic, aiming to achieve better classification performance with limited labeled data. Due...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"85 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140926907","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
Chaotic characterization and chaotic prediction modelling of HFSWR ionospheric echoes excited by typhoon 台风激发的 HFSWR 电离层回波的混沌表征和混沌预测建模
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-04-28 DOI: 10.1080/2150704x.2024.2337610
Rong Wang, Changjun Yu, Zhe Lyu, Aijun Liu
{"title":"Chaotic characterization and chaotic prediction modelling of HFSWR ionospheric echoes excited by typhoon","authors":"Rong Wang, Changjun Yu, Zhe Lyu, Aijun Liu","doi":"10.1080/2150704x.2024.2337610","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2337610","url":null,"abstract":"This research explores the intricate-coupling relationship between typhoons and the ionosphere by the high-frequency surface wave radar’s (HFSWR) over-the-horizon capabilities. This letter describe...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"80 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140812186","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
An investigation of the relationship between surface temperature and total ozone over New Delhi, India, using a frequency domain technique and binary fuzzy relation 利用频域技术和二元模糊关系研究印度新德里上空的地表温度与臭氧总量之间的关系
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-04-28 DOI: 10.1080/2150704x.2024.2346183
Rashmi Rekha Devi, Surajit Chattopadhyay
{"title":"An investigation of the relationship between surface temperature and total ozone over New Delhi, India, using a frequency domain technique and binary fuzzy relation","authors":"Rashmi Rekha Devi, Surajit Chattopadhyay","doi":"10.1080/2150704x.2024.2346183","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2346183","url":null,"abstract":"This work has explored spectral analysis to view the relationship between the time series of surface temperature and total ozone concentration (TOC) over New Delhi from 1995 to 2005. The time serie...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"168 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140887141","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
Detection and monitoring of mining-induced subsidence with Gaofen-3 and Sentinel-1A SAR datasets 利用高分三号和哨兵-1A合成孔径雷达数据集探测和监测采矿引起的沉降
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-04-27 DOI: 10.1080/2150704x.2024.2346182
Yuning Zhang, Chaoying Zhao, Hengyi Chen, Xiaosong Feng, Zhe Lu, Basit Ali Khan
{"title":"Detection and monitoring of mining-induced subsidence with Gaofen-3 and Sentinel-1A SAR datasets","authors":"Yuning Zhang, Chaoying Zhao, Hengyi Chen, Xiaosong Feng, Zhe Lu, Basit Ali Khan","doi":"10.1080/2150704x.2024.2346182","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2346182","url":null,"abstract":"The mining-induced subsidence has caused severe casualties and poses a threat to the safe operation of coal extraction, especially under the roads, buildings and rivers. This alarming situation dem...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"198 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140887055","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
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
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