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IEEE Transactions on Geoscience and Remote Sensing最新文献

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Baseline Decorrelation in Bistatic Interferometric SAR Systems Over Bare Soil Surfaces 裸土表面上双向干涉测量合成孔径雷达系统的基线解相关性
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-12 DOI: 10.1109/tgrs.2024.3496256
Gerardo Di Martino, Alessio Di Simone, Antonio Iodice, Daniele Riccio, Giuseppe Ruello
{"title":"Baseline Decorrelation in Bistatic Interferometric SAR Systems Over Bare Soil Surfaces","authors":"Gerardo Di Martino, Alessio Di Simone, Antonio Iodice, Daniele Riccio, Giuseppe Ruello","doi":"10.1109/tgrs.2024.3496256","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3496256","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"35 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Random Projection-Based Sub-Pixel Target Detection for Hyperspectral Image with t-distribution Background 基于随机投影的具有 t 分布背景的高光谱图像子像素目标检测
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-12 DOI: 10.1109/tgrs.2024.3496722
Qingke Zou, Jie Zhou, Yubo Ma, Mingjie Luo
{"title":"Random Projection-Based Sub-Pixel Target Detection for Hyperspectral Image with t-distribution Background","authors":"Qingke Zou, Jie Zhou, Yubo Ma, Mingjie Luo","doi":"10.1109/tgrs.2024.3496722","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3496722","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"10 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Attention-ConvNet Network for Ocean-Front Prediction via Remote Sensing SST Images 通过遥感 SST 图像预测海洋前沿的注意力-ConvNet 网络
IF 7.5 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-12 DOI: 10.1109/TGRS.2024.3496660
Yuting Yang;Xin Sun;Junyu Dong;Kin-Man Lam;Xiao Xiang Zhu
{"title":"Attention-ConvNet Network for Ocean-Front Prediction via Remote Sensing SST Images","authors":"Yuting Yang;Xin Sun;Junyu Dong;Kin-Man Lam;Xiao Xiang Zhu","doi":"10.1109/TGRS.2024.3496660","DOIUrl":"10.1109/TGRS.2024.3496660","url":null,"abstract":"Ocean front is one typical geophysical phenomenon acting as oases in the ocean for fishes and marine mammals. Accurate ocean-front prediction is critical for fishery and navigation safety. However, the formation and evolution of ocean fronts are inherently nonlinear and are influenced by various factors such as ocean currents, wind fields, and temperature changes, making ocean-front prediction a considerable challenge. This study proposes a temporal-sensitive network named Attention-ConvNet to address this challenge. Ocean fronts exhibit significant multiscale characteristics, requiring analysis and prediction across various temporal and spatial scales. The proposed network designs a hierarchical attention mechanism (HAM) that efficiently prioritizes relevant spatial and temporal information to meet the specific requirement. What is more, the proposed network uses a complex hierarchical branching convolutional network (HBCNet) architecture, which allows our network to leverage the complementary strengths of spatial and temporal information, effectively capturing the dynamic and complex variations in ocean fronts. In general, the network prioritizes and focuses on the most relevant information of front dynamics, which ensures its ability to effectively predict the ocean front. External experiments demonstrate that our network significantly outperforms conventional methods, confirming its capability for precise ocean-front prediction. The codes will be publicly available at \u0000<uri>https://github.com/yuhudeyue/Ocean-Front-Prediction-Model</uri>\u0000.","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"62 ","pages":"1-16"},"PeriodicalIF":7.5,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10750822","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Retrieval of the Aerosol Scale Height over the Ocean Based on Near-infrared Multiangle Polarization Measurements 基于近红外多角度偏振测量的海洋上空气溶胶尺度高度检索
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-11 DOI: 10.1109/tgrs.2024.3495036
Tianfeng Pan, Xianqiang He, Yan Bai, Palanisamy Shanmugam, Jia Liu, Fang Gong, Difeng Wang, Teng Li
{"title":"Retrieval of the Aerosol Scale Height over the Ocean Based on Near-infrared Multiangle Polarization Measurements","authors":"Tianfeng Pan, Xianqiang He, Yan Bai, Palanisamy Shanmugam, Jia Liu, Fang Gong, Difeng Wang, Teng Li","doi":"10.1109/tgrs.2024.3495036","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3495036","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"37 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
FusionMamba: Efficient Remote Sensing Image Fusion with State Space Model FusionMamba：利用状态空间模型实现高效遥感图像融合
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-11 DOI: 10.1109/tgrs.2024.3496073
Siran Peng, Xiangyu Zhu, Haoyu Deng, Liang-Jian Deng, Zhen Lei
{"title":"FusionMamba: Efficient Remote Sensing Image Fusion with State Space Model","authors":"Siran Peng, Xiangyu Zhu, Haoyu Deng, Liang-Jian Deng, Zhen Lei","doi":"10.1109/tgrs.2024.3496073","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3496073","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"42 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Predictive model-based correction of magnetic sensor array sway errors 基于预测模型的磁传感器阵列摇摆误差校正
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-11 DOI: 10.1109/tgrs.2024.3494868
Zhiyu Lu, Li Yang, Bin Wang, Kun Wu, Yongxin Li, Xiaoping Zheng
{"title":"Predictive model-based correction of magnetic sensor array sway errors","authors":"Zhiyu Lu, Li Yang, Bin Wang, Kun Wu, Yongxin Li, Xiaoping Zheng","doi":"10.1109/tgrs.2024.3494868","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3494868","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"15 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Explicit High-level Semantic Network for Domain Generalization in Hyperspectral Image Classification 用于高光谱图像分类领域泛化的显式高层语义网络
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-11 DOI: 10.1109/tgrs.2024.3495765
Xusheng Wang, Shoubin Dong, Xiaorou Zheng, Runuo Lu, Jianxin Jia
{"title":"Explicit High-level Semantic Network for Domain Generalization in Hyperspectral Image Classification","authors":"Xusheng Wang, Shoubin Dong, Xiaorou Zheng, Runuo Lu, Jianxin Jia","doi":"10.1109/tgrs.2024.3495765","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3495765","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"15 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Inducing Causal Meta-knowledge from Virtual Domain: Causal Meta-generalization for Hyperspectral Domain Generalization 从虚拟领域诱导因果元知识：高光谱领域泛化的因果元泛化
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-11 DOI: 10.1109/tgrs.2024.3494796
Haoyu Wang, Xiaomin Liu, Zhenzhuang Qiao, Hanqing Tao
{"title":"Inducing Causal Meta-knowledge from Virtual Domain: Causal Meta-generalization for Hyperspectral Domain Generalization","authors":"Haoyu Wang, Xiaomin Liu, Zhenzhuang Qiao, Hanqing Tao","doi":"10.1109/tgrs.2024.3494796","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3494796","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"156 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Geographical dual-prior guided few shot network for cross domain hyperspectral image classification 用于跨域高光谱图像分类的地理双先导少镜头网络
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-11 DOI: 10.1109/tgrs.2024.3495525
Weihuan Deng, Huiting Li, Qiqi Zhu, Mingzhen Xu, Qingfeng Guan, Jiancheng Luo
{"title":"Geographical dual-prior guided few shot network for cross domain hyperspectral image classification","authors":"Weihuan Deng, Huiting Li, Qiqi Zhu, Mingzhen Xu, Qingfeng Guan, Jiancheng Luo","doi":"10.1109/tgrs.2024.3495525","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3495525","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"19 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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
Spectral-spatial out-of-distribution-based unsupervised band selection method for hyperspectral anomaly detection 基于光谱空间分布外的无监督波段选择方法，用于高光谱异常检测
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-11 DOI: 10.1109/tgrs.2024.3493879
Hongqi Zhang, He Sun, Xu Sun, Hongmin Gao, Lianru Gao, Bing Zhang
{"title":"Spectral-spatial out-of-distribution-based unsupervised band selection method for hyperspectral anomaly detection","authors":"Hongqi Zhang, He Sun, Xu Sun, Hongmin Gao, Lianru Gao, Bing Zhang","doi":"10.1109/tgrs.2024.3493879","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3493879","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":"10 1","pages":""},"PeriodicalIF":8.2,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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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