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Unsupervised change detection based on image reconstruction loss with segment anything 基于图像重建损失的无监督变化检测，包含任何段落
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-08-18 DOI: 10.1080/2150704x.2024.2388851
HyeonCheol Noh, JinGi Ju, YuHyun Kim, MinWoo Kim, Dong-Geol Choi
{"title":"Unsupervised change detection based on image reconstruction loss with segment anything","authors":"HyeonCheol Noh, JinGi Ju, YuHyun Kim, MinWoo Kim, Dong-Geol Choi","doi":"10.1080/2150704x.2024.2388851","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2388851","url":null,"abstract":"In remote sensing, change detection based on deep learning shows promising performance. However, collecting multi-temporal paired images for training a change detection model is costly. To solve th...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142179151","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
Estimating the building heights and occupancy of underground space resources based on high-resolution remote sensing images 基于高分辨率遥感图像估算建筑高度和地下空间资源占用率
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-08-14 DOI: 10.1080/2150704x.2024.2388847
Jie Dong, Meijun Xu, Peng Yu, Henghua Zhu, Wenyu Ren, Shiqi Gao, Ming Hao, Jiani Fu
{"title":"Estimating the building heights and occupancy of underground space resources based on high-resolution remote sensing images","authors":"Jie Dong, Meijun Xu, Peng Yu, Henghua Zhu, Wenyu Ren, Shiqi Gao, Ming Hao, Jiani Fu","doi":"10.1080/2150704x.2024.2388847","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2388847","url":null,"abstract":"In recent years, limited surface space and restricted urban expansion have become increasingly prominent. The development of underground spaces has emerged as an effective solution, offering a new ...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142179156","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
Flood monitoring in an Giang Province, Vietnam using global flood mapper and Sentinel-1 SAR 利用全球洪水成像仪和 Sentinel-1 SAR 监测越南安江省的洪水情况
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-08-12 DOI: 10.1080/2150704x.2024.2388846
Ahmed S. Afifi, Ahmed Magdy
{"title":"Flood monitoring in an Giang Province, Vietnam using global flood mapper and Sentinel-1 SAR","authors":"Ahmed S. Afifi, Ahmed Magdy","doi":"10.1080/2150704x.2024.2388846","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2388846","url":null,"abstract":"According to the 2018 report of the United Nations Office for Disaster Risk Reduction (UNISDR), the total number of recorded flood events between 1998 and 2017 was 3,148. This means there is an ave...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142179155","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
MAFPN: a mixed local-global attention feature pyramid network for aerial object detection MAFPN：用于空中物体探测的局部-全局混合注意力特征金字塔网络
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-08-12 DOI: 10.1080/2150704x.2024.2388853
Tengfei Ma, Haitao Yin
{"title":"MAFPN: a mixed local-global attention feature pyramid network for aerial object detection","authors":"Tengfei Ma, Haitao Yin","doi":"10.1080/2150704x.2024.2388853","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2388853","url":null,"abstract":"Aerial object detection (AOD) aims at locating and categorizing aerial targets in remote sensing image, which has wide practical applications. Mainstream feature pyramid network (FPN) has made grea...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142179154","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
Relief displacement of airborne objects 空中物体的浮力位移
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-08-12 DOI: 10.1080/2150704x.2024.2387131
Joe Crumpton, Morgan B. Pfeiffer, Sathishkumar Samiappan, Jared A. Elmore, Landon R. Jones, B. Santhana Krishnan, Raymond B. Iglay, Esteban Fernández-Juricic, Bradley F. Blackwell
{"title":"Relief displacement of airborne objects","authors":"Joe Crumpton, Morgan B. Pfeiffer, Sathishkumar Samiappan, Jared A. Elmore, Landon R. Jones, B. Santhana Krishnan, Raymond B. Iglay, Esteban Fernández-Juricic, Bradley F. Blackwell","doi":"10.1080/2150704x.2024.2387131","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2387131","url":null,"abstract":"The increasing availability of unoccupied aircraft systems (UAS, also referred to as drones) has led to their use in taking vertical aerial photographs at relatively small spatial scales. These pho...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142179152","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
Spatiotemporal dynamics of nearshore red tides and their carbon sink potential in the East China Sea, 2012–2021 2012-2021年中国东海近岸赤潮的时空动态及其碳汇潜力
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-08-06 DOI: 10.1080/2150704x.2024.2384097
ZhaoZhu Yuan, Chi Feng, Xiaomei Hang, Lulu Jiang, Hao Shen, Weiwei Zhang
{"title":"Spatiotemporal dynamics of nearshore red tides and their carbon sink potential in the East China Sea, 2012–2021","authors":"ZhaoZhu Yuan, Chi Feng, Xiaomei Hang, Lulu Jiang, Hao Shen, Weiwei Zhang","doi":"10.1080/2150704x.2024.2384097","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2384097","url":null,"abstract":"The East China Sea frequently experiences red tide outbreaks, significantly impacting marine carbon sink dynamics and ecosystem health. This study examines the temporal and spatial variations of re...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141948972","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
Hyperspectral image classification using a deep relation network with random replacement data augmentation 使用随机替换数据增强的深度关系网络进行高光谱图像分类
IF 1.4 4区 地球科学
Remote Sensing Letters Pub Date : 2024-07-27 DOI: 10.1080/2150704x.2024.2379513
Xinhua Lu, Jiaxuan Hao, Hua Wang, Jianliang Qiao, Junbo Huang
{"title":"Hyperspectral image classification using a deep relation network with random replacement data augmentation","authors":"Xinhua Lu, Jiaxuan Hao, Hua Wang, Jianliang Qiao, Junbo Huang","doi":"10.1080/2150704x.2024.2379513","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2379513","url":null,"abstract":"","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141797308","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
Evaluation of classified ground points from National Agriculture Imagery program photogrammetrically derived point clouds 对国家农业图像计划摄影测量衍生点云中的分类地面点进行评估
IF 1.4 4区 地球科学
Remote Sensing Letters Pub Date : 2024-07-27 DOI: 10.1080/2150704x.2024.2384095
Jung-Kuan Liu, S. Arundel, Ethan J. Shavers
{"title":"Evaluation of classified ground points from National Agriculture Imagery program photogrammetrically derived point clouds","authors":"Jung-Kuan Liu, S. Arundel, Ethan J. Shavers","doi":"10.1080/2150704x.2024.2384095","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2384095","url":null,"abstract":"","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798508","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
Road extraction from remote sensing images based on a multi-scale asymmetric dual attention mechanism 基于多尺度非对称双重关注机制的遥感图像道路提取技术
IF 1.4 4区 地球科学
Remote Sensing Letters Pub Date : 2024-07-25 DOI: 10.1080/2150704x.2024.2370498
Shenming Qu, Suchen Liu, Fengyu Han, Yuan Xie
{"title":"Road extraction from remote sensing images based on a multi-scale asymmetric dual attention mechanism","authors":"Shenming Qu, Suchen Liu, Fengyu Han, Yuan Xie","doi":"10.1080/2150704x.2024.2370498","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2370498","url":null,"abstract":"","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141802737","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
DSNet: dual-stream network for fine-grained ship classification in optical remote sensing images DSNet：用于光学遥感图像中精细船舶分类的双流网络
IF 2.3 4区 地球科学
Remote Sensing Letters Pub Date : 2024-07-23 DOI: 10.1080/2150704x.2024.2377211
Shijun Yang, Xiang Zhang, Wanqing Zhao, Qiyao Hu, Hangzai Luo, Cheng Liu, Sheng Zhong, Jinye Peng
{"title":"DSNet: dual-stream network for fine-grained ship classification in optical remote sensing images","authors":"Shijun Yang, Xiang Zhang, Wanqing Zhao, Qiyao Hu, Hangzai Luo, Cheng Liu, Sheng Zhong, Jinye Peng","doi":"10.1080/2150704x.2024.2377211","DOIUrl":"https://doi.org/10.1080/2150704x.2024.2377211","url":null,"abstract":"The fine-grained ship classification (FGSC) task in remote sensing aims to distinguish subordinate ship categories. Due to the high similarity among different subcategories and the significant vari...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141775498","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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