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IEEE Transactions on Geoscience and Remote Sensing最新文献

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High-Resolution Remote Sensing Image Segmentation With Global-Guided Normalization and Local Affinity Distillation 利用全局引导归一化和局部亲和性蒸馏技术进行高分辨率遥感图像分割
IF 7.5 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-04 DOI: 10.1109/TGRS.2024.3482688
Peng Zhu;Xiangrong Zhang;Xiao Han;Puhua Chen;Xu Tang;Xina Cheng;Licheng Jiao
{"title":"High-Resolution Remote Sensing Image Segmentation With Global-Guided Normalization and Local Affinity Distillation","authors":"Peng Zhu;Xiangrong Zhang;Xiao Han;Puhua Chen;Xu Tang;Xina Cheng;Licheng Jiao","doi":"10.1109/TGRS.2024.3482688","DOIUrl":"10.1109/TGRS.2024.3482688","url":null,"abstract":"In recent years, high-resolution (HR) remote sensing images (RSIs) segmentation has received growing attention. The huge number of pixels poses a challenge to the semantic segmentation algorithm, which is limited by the storage of GPUs, so the current methods for processing HR RSIs are categorized into two main categories, i.e., global methods and local methods. The former downsamples the original image and loses a lot of feature details. The latter crops the original image and fails to obtain global contextual information. Both types of methods lead to limited segmentation accuracy. In this article, we propose an end-to-end framework, called global injection network (GINet), which explores two levels of feature distribution and feature relationship to achieve tradeoff between global context and local details. In concrete terms, we propose the global-guided normalization (GGN) module, which injects global context information into local branch and modulates local features using global features to enhance the global perception of local branch. In addition, to constrain the spatial consistency of two branches, inspired by the knowledge distillation technique, we propose local affinity distillation (LAD) loss, which distills the relations in local features into global features to keep the similarity of the relationships corresponding to patches in the two branches. The comprehensive experimental results on three large-scale land-cover classification datasets, DeepGlobe (\u0000<inline-formula> <tex-math>$2448 times 2448$ </tex-math></inline-formula>\u0000), Inria Aerial (\u0000<inline-formula> <tex-math>$5000 times 5000$ </tex-math></inline-formula>\u0000), and GID-15 (\u0000<inline-formula> <tex-math>$7200 times 6800$ </tex-math></inline-formula>\u0000), confirm the effectiveness and superiority of our method in HR semantic segmentation tasks.","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":null,"pages":null},"PeriodicalIF":7.5,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580439","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
A Novel Downscaling Approach based on Multi-Frequency Microwave Radiometry toward Finer Scale Global Soil Moisture Mapping 基于多频微波辐射测量的新型降尺度方法，实现更精细的全球土壤水分绘图
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-04 DOI: 10.1109/tgrs.2024.3490758
Peilin Song, Tianjie Zhao, Jiancheng Shi, Yongqiang Zhang, Jingyao Zheng
{"title":"A Novel Downscaling Approach based on Multi-Frequency Microwave Radiometry toward Finer Scale Global Soil Moisture Mapping","authors":"Peilin Song, Tianjie Zhao, Jiancheng Shi, Yongqiang Zhang, Jingyao Zheng","doi":"10.1109/tgrs.2024.3490758","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3490758","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580429","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
Quantum Information-Empowered Graph Neural Network for Hyperspectral Change Detection 用于高光谱变化检测的量子信息赋能图神经网络
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-04 DOI: 10.1109/tgrs.2024.3490703
Chia-Hsiang Lin, Tzu-Hsuan Lin, Jocelyn Chanussot
{"title":"Quantum Information-Empowered Graph Neural Network for Hyperspectral Change Detection","authors":"Chia-Hsiang Lin, Tzu-Hsuan Lin, Jocelyn Chanussot","doi":"10.1109/tgrs.2024.3490703","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3490703","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580432","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
Negative Samples Mining Matters: Reconsidering Hyperspectral Image Classification with Contrastive Learning 负样本挖掘问题：利用对比学习重新考虑高光谱图像分类
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-04 DOI: 10.1109/tgrs.2024.3491074
Hui Liu, Chenjia Huang, Ning Chen, Tao Xie, Mingyue Lu, Zhou Huang
{"title":"Negative Samples Mining Matters: Reconsidering Hyperspectral Image Classification with Contrastive Learning","authors":"Hui Liu, Chenjia Huang, Ning Chen, Tao Xie, Mingyue Lu, Zhou Huang","doi":"10.1109/tgrs.2024.3491074","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3491074","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580443","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
MCFT: Multimodal Contrastive Fusion Transformer for Classification of Hyperspectral Image and LiDAR Data MCFT：用于高光谱图像和激光雷达数据分类的多模态对比融合变换器
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-04 DOI: 10.1109/tgrs.2024.3490752
Yining Feng, Jiarui Jin, Yin Yin, Chuanming Song, Xianghai Wang
{"title":"MCFT: Multimodal Contrastive Fusion Transformer for Classification of Hyperspectral Image and LiDAR Data","authors":"Yining Feng, Jiarui Jin, Yin Yin, Chuanming Song, Xianghai Wang","doi":"10.1109/tgrs.2024.3490752","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3490752","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580431","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
Adaptive Multiscale Slimming Network Learning for Remote Sensing Image Feature Extraction 用于遥感图像特征提取的自适应多尺度瘦身网络学习
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-04 DOI: 10.1109/tgrs.2024.3490666
Dingqi Ye, Jian Peng, Wang Guo, Haifeng Li
{"title":"Adaptive Multiscale Slimming Network Learning for Remote Sensing Image Feature Extraction","authors":"Dingqi Ye, Jian Peng, Wang Guo, Haifeng Li","doi":"10.1109/tgrs.2024.3490666","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3490666","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580442","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
Conditional Denoising Diffusion Probabilistic Model for Ground-roll Attenuation 用于地滚衰减的条件去噪扩散概率模型
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-04 DOI: 10.1109/tgrs.2024.3489716
Yuanyuan Li, Hao Zhang, Jianping Huang, Zhenchun Li
{"title":"Conditional Denoising Diffusion Probabilistic Model for Ground-roll Attenuation","authors":"Yuanyuan Li, Hao Zhang, Jianping Huang, Zhenchun Li","doi":"10.1109/tgrs.2024.3489716","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3489716","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580446","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
Microwave Emission Model for Layered Vegetation (MEMLV): An Exemplary Study for Coniferous Forests from P- to Ka-Band 分层植被微波发射模型（MEMLV）：针叶林从 P 波段到 Ka 波段的示范研究
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-04 DOI: 10.1109/tgrs.2024.3491218
Yiwen Zhou, Mike Schwank, Mehmet Kurum, Derek Houtz, Qianyi Zhao, Roger Lang, Arnaud Mialon, Matthias Drusch
{"title":"Microwave Emission Model for Layered Vegetation (MEMLV): An Exemplary Study for Coniferous Forests from P- to Ka-Band","authors":"Yiwen Zhou, Mike Schwank, Mehmet Kurum, Derek Houtz, Qianyi Zhao, Roger Lang, Arnaud Mialon, Matthias Drusch","doi":"10.1109/tgrs.2024.3491218","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3491218","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580440","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
LGCT: Local-Global Collaborative Transformer for Fusion of Hyperspectral and Multispectral Images LGCT：用于融合高光谱和多光谱图像的局部-全局协作变换器
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-04 DOI: 10.1109/tgrs.2024.3491109
Wangquan He, Xiyou Fu, Nanying Li, Qi Ren, Sen Jia
{"title":"LGCT: Local-Global Collaborative Transformer for Fusion of Hyperspectral and Multispectral Images","authors":"Wangquan He, Xiyou Fu, Nanying Li, Qi Ren, Sen Jia","doi":"10.1109/tgrs.2024.3491109","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3491109","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580017","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
Few-shot Hyperspectral Image Classification using Relational Generative Adversarial Network 利用关系生成对抗网络进行少量高光谱图像分类
IF 8.2 1区 地球科学
IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2024-11-04 DOI: 10.1109/tgrs.2024.3490537
Wei Wei, Lei Tong, Baoqing Guo, Jun Zhou, Chuangbai Xiao
{"title":"Few-shot Hyperspectral Image Classification using Relational Generative Adversarial Network","authors":"Wei Wei, Lei Tong, Baoqing Guo, Jun Zhou, Chuangbai Xiao","doi":"10.1109/tgrs.2024.3490537","DOIUrl":"https://doi.org/10.1109/tgrs.2024.3490537","url":null,"abstract":"","PeriodicalId":13213,"journal":{"name":"IEEE Transactions on Geoscience and Remote Sensing","volume":null,"pages":null},"PeriodicalIF":8.2,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580449","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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