[1]?遙感中的自監(jiān)督學(xué)習(xí)綜述

[Title]Self-supervised learning in remote sensing: A review

[Code]None

[Accepted]IEEE Geoscience and Remote Sensing Magazine

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[2]?遙感中的通用對(duì)抗樣本：方法論和基準(zhǔn)

[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

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[3]?GCSANet：用于遙感場(chǎng)景分類(lèi)的全局上下文空間注意力深度學(xué)習(xí)網(wǎng)絡(luò)

[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

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[4]?通過(guò)改進(jìn)的 YOLO-v4在遙感圖像中進(jìn)行多尺度和方向目標(biāo)檢測(cè)

[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

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[5]?基于動(dòng)態(tài)差分進(jìn)化的模糊遙感圖像進(jìn)化融合能見(jiàn)度恢復(fù)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

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[6]?遙感圖像超分辨率和目標(biāo)檢測(cè)：基準(zhǔn)和最新技術(shù)

[Title]Remote sensing image super-resolution and object detection: Benchmark and state of the art

[Code]None

[Accepted]Expert Systems with Applications

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[7]?用于早期植物病害檢測(cè)的高光譜遙感現(xiàn)狀：綜述

[Title]Current state of hyperspectral remote sensing for early plant disease detection: A review

[Code]None

[Accepted]Sensors

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[8]?遙感圖像語(yǔ)義分割的避免負(fù)遷移

[Title]Avoiding Negative Transfer for Semantic Segmentation of Remote Sensing Images

[Code]None

[Accepted]IEEE Transactions on Geoscience and Remote Sensing

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[9]?SEN12MS-CR-TS：多模態(tài)多時(shí)相去云遙感數(shù)據(jù)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

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[10]?TransUNetCD：一種用于光學(xué)遙感圖像變化檢測(cè)的混合變壓器網(wǎng)絡(luò)

[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

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[11]?DKDFN：用于多模態(tài)單時(shí)遙感土地覆蓋分類(lèi)的領(lǐng)域知識(shí)引導(dǎo)的深度協(xié)作融合網(wǎng)絡(luò)

[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

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[12]?基于孿生網(wǎng)絡(luò)的 U-Net 用于高分辨率遙感圖像的變化檢測(cè)

[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

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[13]?基于全局和局部信息的遙感跨模態(tài)文本圖像檢索

[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

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[14]?MFVNet：一種用于遙感圖像語(yǔ)義分割的多視場(chǎng)深度自適應(yīng)融合網(wǎng)絡(luò)

[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

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[15]?一種先進(jìn)的狄利克雷先驗(yàn)網(wǎng)絡(luò)，用于遙感中的分布外檢測(cè)

[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

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[16]?用于 HR遙感圖像語(yǔ)義分割的全局和局部對(duì)比自監(jiān)督學(xué)習(xí)

[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

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[17]?用于遙感任務(wù)的自監(jiān)督材料和紋理表示學(xué)習(xí)

[Title]Self-supervised material and texture representation learning for remote sensing tasks

[Code]https://github.com/periakiva/

[Accepted]CVPR 2022

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[18]?遙感

[Title]UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery

[Code]https://github.com/WangLibo1995/GeoSeg

[Accepted]UNetFormer：一種用于遙感城市場(chǎng)景圖像高效語(yǔ)義分割的類(lèi) UNet 轉(zhuǎn)換器

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[19]?用于遙感圖像分類(lèi)的多模態(tài)融合變換器

[Title]Multimodal fusion transformer for remote sensing image classification

[Code]https://github.com/AnkurDeria/MFT

[Accepted]Arxiv

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[20]?使用圖神經(jīng)網(wǎng)絡(luò)進(jìn)行遙感分類(lèi)的多目標(biāo)域自適應(yīng)

[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

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[21]?遙感圖像半監(jiān)督變化檢測(cè)的一致性正則化再探

[Title]Revisiting consistency regularization for semi-supervised change detection in remote sensing images

[Code]https://github.com/wgcban/SemiCD

[Accepted]IEEE

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[22]?CMGFNet：一種深度跨模態(tài)門(mén)控融合網(wǎng)絡(luò)，用于從超高分辨率遙感圖像中提取建筑物

[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

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[23]?使用深度殘差 U-Net從遙感圖像中提取建筑物

[Title]Building extraction from remote sensing images using deep residual U-Net

[Code]None

[Accepted]European Journal of Remote Sensing

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[24]?遙感數(shù)據(jù)的自監(jiān)督視聽(tīng)表示學(xué)習(xí)

[Title]Self-supervised audiovisual representation learning for remote sensing data

[Code]https://github.com/khdlr/SoundingEarth

[Accepted]IEEE

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[25]?一種新穎的基于變換器的高分辨率遙感圖像語(yǔ)義分割方案

[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

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[26]?MDAS：一種新的遙感多模式基準(zhǔn)數(shù)據(jù)集

[Title]MDAS: A new multimodal benchmark dataset for remote sensing

[Code]None

[Accepted]Earth System Science Data

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[27]?FAIR1M：用于高分辨率遙感圖像中細(xì)粒度對(duì)象識(shí)別的基準(zhǔn)數(shù)據(jù)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

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[28]?Sgmnet：用于少樣本遙感場(chǎng)景分類(lèi)的場(chǎng)景圖匹配網(wǎng)絡(luò)

[Title]Sgmnet: Scene graph matching network for few-shot remote sensing scene classification

[Code]None

[Accepted]IEEE Transactions on Geoscience and Remote Sensing

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[29]?用于 HR遙感圖像語(yǔ)義變化檢測(cè)的雙時(shí)態(tài)語(yǔ)義推理

[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

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[30]?用于光學(xué)遙感影像中顯著目標(biāo)檢測(cè)的混合特征對(duì)齊網(wǎng)絡(luò)

[Title]Hybrid feature aligned network for salient object detection in optical remote sensing imagery

[Code]None

[Accepted]IEEE Transactions on Geoscience and Remote Sensing

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[31]?探索一種用于跨模態(tài)遙感圖像檢索的細(xì)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

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[32]?訓(xùn)練集和測(cè)試集之間的空間依賴(lài)性：遙感分類(lèi)精度評(píng)估的另一個(gè)陷阱

[Title]Spatial dependence between training and test sets: another pitfall of classification accuracy assessment in remote sensing

[Code]None

[Accepted]Machine Learning

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[33]?用于遙感圖像場(chǎng)景分類(lèi)的自監(jiān)督域內(nèi)表示學(xué)習(xí)

[Title]Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification

[Code]None

[Accepted]Arxiv

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[34]?MFST：用于遙感場(chǎng)景分類(lèi)的多級(jí)融合網(wǎng)絡(luò)

[Title]MFST: A Multi-Level Fusion Network for Remote Sensing Scene Classification

[Code]None

[Accepted]IEEE Geoscience and Remote Sensing Letters

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[35]?基于深度學(xué)習(xí)的高分辨率衛(wèi)星遙感影像建筑物識(shí)別與提取

[Title]Recognition and extraction of high-resolution satellite remote sensing image buildings based on deep learning

[Code]None

[Accepted]Neural Computing and Applications

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[36]?遙感Transformers調(diào)查

[Title]Transformers in remote sensing: A survey

[Code]None

[Accepted]Remote Sensing

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[37]?基于深度學(xué)習(xí)的高分辨率遙感圖像變化檢測(cè)綜述

[Title]A survey on deep learning-based change detection from high-resolution remote sensing images

[Code]None

[Accepted]Remote Sensing

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[38]?TE-SAGAN：一種改進(jìn)的遙感超分辨率圖像生成對(duì)抗網(wǎng)絡(luò)

[Title]TE-SAGAN: An Improved Generative Adversarial Network for Remote Sensing Super-Resolution Images

[Code]None

[Accepted]Remote Sensing

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[39]?基于深度學(xué)習(xí)和遙感的作物產(chǎn)量預(yù)測(cè)系統(tǒng)文獻(xiàn)綜述

[Title]A systematic literature review on crop yield prediction with deep learning and remote sensing

[Code]None

[Accepted]Remote Sensing

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[40]?基于深度學(xué)習(xí)的遙感圖像變化檢測(cè)：綜述

[Title]Deep learning-based change detection in remote sensing images: A review

[Code]None

[Accepted]Remote Sensing

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[41]?遙感水質(zhì)反演綜述：進(jìn)展與挑戰(zhàn)

[Title]A review of remote sensing for Water Quality Retrieval: Progress and challenges

[Code]None

[Accepted]Remote Sensing

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[42]?RAANet：用于高分辨率遙感圖像語(yǔ)義分割的具有注意框架的殘差 ASPP

[Title]RAANet: A Residual ASPP with Attention Framework for Semantic Segmentation of High-Resolution Remote Sensing Images

[Code]None

[Accepted]Remote Sensing

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[43]?用于遙感圖像對(duì)象檢測(cè)的遷移CNN Transformer

[Title]Transformer with transfer CNN for remote-sensing-image object detection

[Code]None

[Accepted]Remote Sensing

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[44]?用于多模態(tài)遙感圖像中無(wú)監(jiān)督變化檢測(cè)的代碼對(duì)齊自動(dòng)編碼器

[Title]Code-aligned autoencoders for unsupervised change detection in multimodal remote sensing images

[Code]None

[Accepted]IEEE Transactions on Neural Networks and Learning Systems

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[45]?通過(guò)特征融合和全卷積網(wǎng)絡(luò)對(duì)遙感圖像進(jìn)行穩(wěn)健的對(duì)象分類(lèi)和場(chǎng)景分類(lèi)

[Title]Robust object categorization and Scene classification over remote sensing images via features fusion and fully convolutional network

[Code]None

[Accepted]Remote Sensing

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[46]?基于自補(bǔ)償卷積神經(jīng)網(wǎng)絡(luò)的遙感場(chǎng)景圖像分類(lèi)

[Title]Remote sensing scene image classification based on self-compensating convolution neural network

[Code]None

[Accepted]Remote Sensing

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[47]?多模態(tài)遙感影像配準(zhǔn)的進(jìn)展與挑戰(zhàn)

[Title]Advances and challenges in multimodal remote sensing image registration

[Code]None

[Accepted]IEEE Journal on Miniaturization for Air and Space Systems

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[48]?用于遙感跨域場(chǎng)景分類(lèi)的半監(jiān)督雙向?qū)R

[Title]Semi-supervised bidirectional alignment for Remote Sensing cross-domain scene classification

[Code]None

[Accepted]ISPRS Journal of Photogrammetry and Remote Sensing

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[49]?少樣本場(chǎng)景下遙感場(chǎng)景分類(lèi)的自監(jiān)督學(xué)習(xí)

[Title]Self-supervised learning for remote sensing scene classification under the few shot scenario

[Code]None

[Accepted]Scientific Reports

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[50]?GAF-Net：使用新型全局自注意力和交叉注意力學(xué)習(xí)提高遙感圖像融合的性能

[Title]GAF-Net: Improving the Performance of Remote Sensing Image Fusion Using Novel Global Self and Cross Attention Learning

[Code]None

[Accepted]WACV 2023