顶会论文合集 | 遥感影像相关论文合集
[1] 遥感中的自监督学习综述
[Title]Self-supervised learning in remote sensing: A review
[Code]None
[Accepted]IEEE Geoscience and Remote Sensing Magazine
[2] 遥感中的通用对抗样本：方法论和基准
[Title]Universal adversarial examples in remote sensing: Methodology and benchmark
[Code]https://github.com/YonghaoXu/UAE-RS
[Accepted]IEEE Transactions on Geoscience and Remote Sensing
[3] GCSANet：用于遥感场景分类的全局上下文空间注意力深度学习网络
[Title]GCSANet: A global context spatial attention deep learning network for remote sensing scene classification
[Code]https://github.com/ShubingOuyangcug/GCSANet
[Accepted]IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
[4] 通过改进的 YOLO-v4在遥感图像中进行多尺度和方向目标检测
[Title]Multiscale and direction target detecting in remote sensing images via modified YOLO-v4
[Code]None
[Accepted]IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
[5] 基于动态差分进化的模糊遥感图像进化融合能见度恢复模型
[Title]Evolving fusion-based visibility restoration model for hazy remote sensing images using dynamic differential evolution
[Code]None
[Accepted]IEEE Transactions on Geoscience and Remote Sensing
[6] 遥感图像超分辨率和目标检测：基准和最新技术
[Title]Remote sensing image super-resolution and object detection: Benchmark and state of the art
[Code]None
[Accepted]Expert Systems with Applications
[7] 用于早期植物病害检测的高光谱遥感现状：综述
[Title]Current state of hyperspectral remote sensing for early plant disease detection: A review
[Code]None
[Accepted]Sensors
[8] 遥感图像语义分割的避免负迁移
[Title]Avoiding Negative Transfer for Semantic Segmentation of Remote Sensing Images
[Code]None
[Accepted]IEEE Transactions on Geoscience and Remote Sensing
[9] SEN12MS-CR-TS：多模态多时相去云遥感数据集
[Title]SEN12MS-CR-TS: A remote-sensing data set for multimodal multitemporal cloud removal
[Code]https://patricktum.github.io/cloud_removal
[Accepted]IEEE Transactions on Geoscience and Remote Sensing
[10] TransUNetCD：一种用于光学遥感图像变化检测的混合变压器网络
[Title]TransUNetCD: A hybrid transformer network for change detection in optical remote-sensing images
[Code]https://www.ieee.org/publications/rights/index.html
[Accepted]IEEE
[11] DKDFN：用于多模态单时遥感土地覆盖分类的领域知识引导的深度协作融合网络
[Title]DKDFN: Domain Knowledge-Guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classification
[Code]https://github.com/LauraChow/HunanMultimodalDataset
[Accepted]ISPRS Journal of Photogrammetry and Remote Sensing
[12] 基于孪生网络的 U-Net 用于高分辨率遥感图像的变化检测
[Title]A Siamese network based U-Net for change detection in high resolution remote sensing images
[Code]None
[Accepted]IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
[13] 基于全局和局部信息的遥感跨模态文本图像检索
[Title]Remote sensing cross-modal text-image retrieval based on global and local information
[Code]https://github.com/xiaoyuan1996/GaLR
[Accepted]IEEE Transactions on Geoscience and Remote Sensing
[14] MFVNet：一种用于遥感图像语义分割的多视场深度自适应融合网络
[Title]MFVNet: a deep adaptive fusion network with multiple field-of-views for remote sensing image semantic segmentation
[Code]None
[Accepted]Science China Information Sciences
[15] 一种先进的狄利克雷先验网络，用于遥感中的分布外检测
[Title]An advanced Dirichlet prior network for out-of-distribution detection in remote sensing
[Code]https://gitlab.lrz.de/ai4eo/Uncertainty/-/tree/main/DPN-RS
[Accepted]IEEE Transactions on Geoscience and Remote Sensing
[16] 用于 HR遥感图像语义分割的全局和局部对比自监督学习
[Title]Global and local contrastive self-supervised learning for semantic segmentation of HR remote sensing images
[Code]https://github.com/GeoX-Lab/G-RSIM
[Accepted]IEEE Transactions on Geoscience and Remote Sensing
[17] 用于遥感任务的自监督材料和纹理表示学习
[Title]Self-supervised material and texture representation learning for remote sensing tasks
[Code]https://github.com/periakiva/
[Accepted]CVPR 2022
[18] 遥感
[Title]UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery
[Code]https://github.com/WangLibo1995/GeoSeg
[Accepted]UNetFormer：一种用于遥感城市场景图像高效语义分割的类 UNet 转换器
[19] 用于遥感图像分类的多模态融合变换器
[Title]Multimodal fusion transformer for remote sensing image classification
[Code]https://github.com/AnkurDeria/MFT
[Accepted]Arxiv
[20] 使用图神经网络进行遥感分类的多目标域自适应
[Title]Multitarget domain adaptation for remote sensing classification using graph neural network
[Code]https://gitlab.lrz.de/ai4eo/da-multitarget-gnn/
[Accepted]IEEE Geoscience and Remote Sensing Letters
[21] 遥感图像半监督变化检测的一致性正则化再探
[Title]Revisiting consistency regularization for semi-supervised change detection in remote sensing images
[Code]https://github.com/wgcban/SemiCD
[Accepted]IEEE
[22] CMGFNet：一种深度跨模态门控融合网络，用于从超高分辨率遥感图像中提取建筑物
[Title]CMGFNet: A deep cross-modal gated fusion network for building extraction from very high-resolution remote sensing images
[Code]None
[Accepted]ISPRS journal of photogrammetry and remote sensing
[23] 使用深度残差 U-Net从遥感图像中提取建筑物
[Title]Building extraction from remote sensing images using deep residual U-Net
[Code]None
[Accepted]European Journal of Remote Sensing
[24] 遥感数据的自监督视听表示学习
[Title]Self-supervised audiovisual representation learning for remote sensing data
[Code]https://github.com/khdlr/SoundingEarth
[Accepted]IEEE
[25] 一种新颖的基于变换器的高分辨率遥感图像语义分割方案
[Title]A novel transformer based semantic segmentation scheme for fine-resolution remote sensing images
[Code]https://github.com/WangLibo1995/GeoSeg
[Accepted]IEEE Geoscience and Remote Sensing Letters
[26] MDAS：一种新的遥感多模式基准数据集
[Title]MDAS: A new multimodal benchmark dataset for remote sensing
[Code]None
[Accepted]Earth System Science Data
[27] FAIR1M：用于高分辨率遥感图像中细粒度对象识别的基准数据集
[Title]FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery
[Code]None
[Accepted]ISPRS Journal of Photogrammetry and Remote Sensing
[28] Sgmnet：用于少样本遥感场景分类的场景图匹配网络
[Title]Sgmnet: Scene graph matching network for few-shot remote sensing scene classification
[Code]None
[Accepted]IEEE Transactions on Geoscience and Remote Sensing
[29] 用于 HR遥感图像语义变化检测的双时态语义推理
[Title]Bi-temporal semantic reasoning for the semantic change detection in HR remote sensing images
[Code] https://github.com/ggsDing/Bi-SRNet.
[Accepted]IEEE Transactions on Geoscience and Remote Sensing
[30] 用于光学遥感影像中显着目标检测的混合特征对齐网络
[Title]Hybrid feature aligned network for salient object detection in optical remote sensing imagery
[Code]None
[Accepted]IEEE Transactions on Geoscience and Remote Sensing
[31] 探索一种用于跨模态遥感图像检索的细粒度多尺度方法
[Title]Exploring a fine-grained multiscale method for cross-modal remote sensing image retrieval
[Code]None
[Accepted]Arxiv
[32] 训练集和测试集之间的空间依赖性：遥感分类精度评估的另一个陷阱
[Title]Spatial dependence between training and test sets: another pitfall of classification accuracy assessment in remote sensing
[Code]None
[Accepted]Machine Learning
[33] 用于遥感图像场景分类的自监督域内表示学习
[Title]Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification
[Code]None
[Accepted]Arxiv
[34] MFST：用于遥感场景分类的多级融合网络
[Title]MFST: A Multi-Level Fusion Network for Remote Sensing Scene Classification
[Code]None
[Accepted]IEEE Geoscience and Remote Sensing Letters
[35] 基于深度学习的高分辨率卫星遥感影像建筑物识别与提取
[Title]Recognition and extraction of high-resolution satellite remote sensing image buildings based on deep learning
[Code]None
[Accepted]Neural Computing and Applications
[36] 遥感Transformers调查
[Title]Transformers in remote sensing: A survey
[Code]None
[Accepted]Remote Sensing
[37] 基于深度学习的高分辨率遥感图像变化检测综述
[Title]A survey on deep learning-based change detection from high-resolution remote sensing images
[Code]None
[Accepted]Remote Sensing
[38] TE-SAGAN：一种改进的遥感超分辨率图像生成对抗网络
[Title]TE-SAGAN: An Improved Generative Adversarial Network for Remote Sensing Super-Resolution Images
[Code]None
[Accepted]Remote Sensing
[39] 基于深度学习和遥感的作物产量预测系统文献综述
[Title]A systematic literature review on crop yield prediction with deep learning and remote sensing
[Code]None
[Accepted]Remote Sensing
[40] 基于深度学习的遥感图像变化检测：综述
[Title]Deep learning-based change detection in remote sensing images: A review
[Code]None
[Accepted]Remote Sensing
[41] 遥感水质反演综述：进展与挑战
[Title]A review of remote sensing for Water Quality Retrieval: Progress and challenges
[Code]None
[Accepted]Remote Sensing
[42] RAANet：用于高分辨率遥感图像语义分割的具有注意框架的残差 ASPP
[Title]RAANet: A Residual ASPP with Attention Framework for Semantic Segmentation of High-Resolution Remote Sensing Images
[Code]None
[Accepted]Remote Sensing
[43] 用于遥感图像对象检测的迁移CNN Transformer
[Title]Transformer with transfer CNN for remote-sensing-image object detection
[Code]None
[Accepted]Remote Sensing
[44] 用于多模态遥感图像中无监督变化检测的代码对齐自动编码器
[Title]Code-aligned autoencoders for unsupervised change detection in multimodal remote sensing images
[Code]None
[Accepted]IEEE Transactions on Neural Networks and Learning Systems
[45] 通过特征融合和全卷积网络对遥感图像进行稳健的对象分类和场景分类
[Title]Robust object categorization and Scene classification over remote sensing images via features fusion and fully convolutional network
[Code]None
[Accepted]Remote Sensing
[46] 基于自补偿卷积神经网络的遥感场景图像分类
[Title]Remote sensing scene image classification based on self-compensating convolution neural network
[Code]None
[Accepted]Remote Sensing
[47] 多模态遥感影像配准的进展与挑战
[Title]Advances and challenges in multimodal remote sensing image registration
[Code]None
[Accepted]IEEE Journal on Miniaturization for Air and Space Systems
[48] 用于遥感跨域场景分类的半监督双向对齐
[Title]Semi-supervised bidirectional alignment for Remote Sensing cross-domain scene classification
[Code]None
[Accepted]ISPRS Journal of Photogrammetry and Remote Sensing
[49] 少样本场景下遥感场景分类的自监督学习
[Title]Self-supervised learning for remote sensing scene classification under the few shot scenario
[Code]None
[Accepted]Scientific Reports
[50] GAF-Net：使用新型全局自注意力和交叉注意力学习提高遥感图像融合的性能
[Title]GAF-Net: Improving the Performance of Remote Sensing Image Fusion Using Novel Global Self and Cross Attention Learning
[Code]None
[Accepted]WACV 2023
