本文旨在调研TGRS中所有与深度学习相关的文章，以投稿为导向，总结其研究方向规律等。文章来源为EI检索记录，选取2020到2023年期间录用的所有文章，约4000条记录。同时，考虑到可能有会议转投期刊，模型改进转投或相关较强等情况，本文也添加了这些文章。
具体的检索过程即检索导出文件下载请参考IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS)文章检索脚本(适用于所有xplore检索导出)和IEEE TGRS近三年文章检索记录
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2023-04-08：完成第一个分区的研究方向分类及文章汇总
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高光谱类

谱域适应

ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks

缺谱恢复

ALERT: Adversarial Learning With Expert Regularization Using Tikhonov Operator for Missing Band Reconstruction

多谱锐化

Band-Independent Encoder–Decoder Network for Pan-Sharpening of Remote Sensing Images

高光谱分类

HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers
Learning to Pay Attention on Spectral Domain: A Spectral Attention Module-Based Convolutional Network for Hyperspectral Image Classification
Supervised Functional Data Discriminant Analysis for Hyperspectral Image Classification
Generalized Tensor Regression for Hyperspectral Image Classification
A Convolutional Neural Network With Mapping Layers for Hyperspectral Image Classification
Patch Tensor-Based Multigraph Embedding Framework for Dimensionality Reduction of Hyperspectral Images
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification
Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification
Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification
Deep Feature Fusion via Two-Stream Convolutional Neural Network for Hyperspectral Image Classification
Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network
An Adaptive Multiview Active Learning Approach for Spectral–Spatial Classification of Hyperspectral Images
Collaborative Representation Ensemble Using Bagging for Hyperspectral Image Classification
Collaborative Representation Ensemble Using Bagging for Hyperspectral Image Classification
Latent Relationship Guided Stacked Sparse Autoencoder for Hyperspectral Imagery Classification
Hyperspectral Classification With Noisy Label Detection via Superpixel-to-Pixel Weighting Distance
Spatial–Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification
Spatial–Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification
Multilabel Sample Augmentation-Based Hyperspectral Image Classification
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification
Hyperspectral Image Classification With Convolutional Neural Network and Active Learning
Lightweight Spectral–Spatial Squeeze-and-Excitation Residual Bag-of-Features Learning for Hyperspectral Classification
CVA2E: A Conditional Variational Autoencoder With an Adversarial Training Process for Hyperspectral Imagery Classification
Subpixel-Pixel-Superpixel-Based Multiview Active Learning for Hyperspectral Images Classification
Adaptive MultiScale Segmentations for Hyperspectral Image Classification
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification
Superpixel-Level Weighted Label Propagation for Hyperspectral Image Classification
Content-Guided Convolutional Neural Network for Hyperspectral Image Classification

高光谱压缩感知

Context-Aware Compressed Sensing of Hyperspectral Image

高光谱异常检测

Hyperspectral Anomaly Detection With Kernel Isolation Forest
Graph and Total Variation Regularized Low-Rank Representation for Hyperspectral Anomaly Detection
Spectral Adversarial Feature Learning for Anomaly Detection in Hyperspectral Imagery
Exploiting Embedding Manifold of Autoencoders for Hyperspectral Anomaly Detection
SRUN: Spectral Regularized Unsupervised Networks for Hyperspectral Target Detection
Hyperspectral Band Selection for Spectral–Spatial Anomaly Detection
Game Theory-Based Hyperspectral Anomaly Detection
Autoencoder and Adversarial-Learning-Based Semisupervised Background Estimation for Hyperspectral Anomaly Detection
Discriminative Reconstruction Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection
Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection
Subpixel-Pixel-Superpixel Guided Fusion for Hyperspectral Anomaly Detection

高光谱超分辨

Nonlocal Coupled Tensor CP Decomposition for Hyperspectral and Multispectral Image Fusion
An Explicit and Scene-Adapted Definition of Convex Self-Similarity Prior With Application to Unsupervised Sentinel-2 Super-Resolution
A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-Resolution
Hyperspectral Image Super-Resolution by Band Attention Through Adversarial Learning
Spatial and Spectral Joint Super-Resolution Using Convolutional Neural Network
CNN-Based Super-Resolution of Hyperspectral Images

高光谱图像聚类

Learning Discriminative Embedding for Hyperspectral Image Clustering Based on Set-to-Set and Sample-to-Sample Distances

高光谱图像融合

Information Loss-Guided Multi-Resolution Image Fusion
HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss

高光谱图像去噪

Hyperspectral image denoising employing a spatial–spectral deep residual convolutional neural network
HSI-DeNet: Hyperspectral image restoration via convolutional neural network
A Self-Supervised Denoising Network for SatelliteAirborne-Ground Hyperspectral Imagery
A Single Model CNN for Hyperspectral Image Denoising

高光谱图像去雾

A Spatial–Spectral Adaptive Haze Removal Method for Visible Remote Sensing Images

高光谱图像选谱

BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image
Deep Latent Spectral Representation Learning-Based Hyperspectral Band Selection for Target Detection

高光谱可视化

Multichannel Pulse-Coupled Neural Network-Based Hyperspectral Image Visualization

SAR相关

目标模拟

Parameter Extraction Based on Deep Neural Network for SAR Target Simulation

图像分类增量学习

Class Boundary Exemplar Selection Based Incremental Learning for Automatic Target Recognition

SAR和光学图像匹配

Exploring the potential of conditional adversarial networks for optical and SAR image matching

干涉相位梯度估计

Deep Convolutional Neural Network-Based Robust Phase Gradient Estimation for Two-Dimensional Phase Unwrapping Using SAR Interferograms

图像生成

LDGAN: A Synthetic Aperture Radar Image Generation Method for Automatic Target Recognition

SAR视频目标跟踪

VIDEO SAR GROUND MOVING TARGET INDICATION BASED ON MULTI-TARGET TRACKING NEURAL NETWORK
Video SAR Moving Target Detection Using Dual Faster R-CNN
Video SAR Moving Target Indication Using Deep Neural Network

SAR目标检测

Saliency-Guided Single Shot Multibox Detector for Target Detection in SAR Images
A Patch-to-Pixel Convolutional Neural Network for Small Ship Detection With PolSAR Images

SAR目标区分Target Discrimination

A Semisupervised Infinite Latent Dirichlet Allocation Model for Target Discrimination in SAR Images With Complex Scenes
Target Discrimination Based on Weakly Supervised Learning for High-Resolution SAR Images in Complex Scenes

SAR分类（分割）

PolSAR Feature Extraction Via Tensor Embedding Framework for Land Cover Classification
A Distribution and Structure Match Generative Adversarial Network for SAR Image Classification
Superpixel-Driven Optimized Wishart Network for Fast PolSAR Image Classification Using Global $k$ -Means Algorithm
POL-SAR Image Classification Based on Modified Stacked Autoencoder Network and Data Distribution
Transfer Learning for SAR Image Classification via Deep Joint Distribution Adaptation Networks
High-Resolution SAR Image Classification Using Context-Aware Encoder Network and Hybrid Conditional Random Field Model
Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification

遥感图像

ROI提取

ROI Extraction Based on Multiview Learning and Attention Mechanism for Unbalanced Remote Sensing Data Set

图像检索

Learning to Translate for Cross-Source Remote Sensing Image Retrieval
Deep Cross-Modal Image–Voice Retrieval in Remote Sensing
Remote Sensing Cross-Modal Retrieval by Deep Image-Voice Hashing

图像标注

Deep Learning for Multilabel Remote Sensing Image Annotation With Dual-Level Semantic Concepts

超分辨

Coupled Adversarial Training for Remote Sensing Image Super-Resolution
DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images
DEEPSUM++: NON-LOCAL DEEP NEURAL NETWORK FOR SUPER-RESOLUTION OF UNREGISTERED MULTITEMPORAL IMAGES
Remote-Sensing Image Superresolution Based on Visual Saliency Analysis and Unequal Reconstruction Networks
Scene-Adaptive Remote Sensing Image Super-Resolution Using a Multiscale Attention Network
E-DBPN: Enhanced Deep Back-Projection Networks for Remote Sensing Scene Image Superresolution

图像去云

Thick Cloud Removal With Optical and SAR Imagery via Convolutional-Mapping-Deconvolutional Network

条带噪声去除

Toward Universal Stripe Removal via Wavelet-Based Deep Convolutional Neural Network

增量分割

Multisource Domain Adaptation for Remote Sensing Using Deep Neural Networks

时序遥感图像预测

MCSIP Net: Multichannel Satellite Image Prediction via Deep Neural Network

轮廓规则化

Toward Automatic Building Footprint Delineation From Aerial Images Using CNN and Regularization

多模态

Multiresolution Multimodal Sensor Fusion for Remote Sensing Data With Label Uncertainty
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

极光图像搜索

Aurora Image Search With a Saliency-Weighted Region Network

图像描述（image captioning）

Sound Active Attention Framework for Remote Sensing Image Captioning

目标检测

Gated and Axis-Concentrated Localization Network for Remote Sensing Object Detection
Context-Aware Convolutional Neural Network for Object Detection in VHR Remote Sensing Imagery
FMSSD: Feature-Merged Single-Shot Detection for Multiscale Objects in Large-Scale Remote Sensing Imagery
Object Detection in High Resolution Remote Sensing Imagery Based on Convolutional Neural Networks With Suitable Object Scale Features
Hierarchical Semantic Propagation for Object Detection in Remote Sensing Imagery
Adaptive Saliency Biased Loss for Object Detection in Aerial Images
A Rotational Libra R-CNN Method for Ship Detection
Supervised High-Level Feature Learning With Label Consistencies for Object Recognition

航空场景分类

Attention GANs: Unsupervised Deep Feature Learning for Aerial Scene Classification

遥感场景分类

Remote Sensing Scene Classification by Gated Bidirectional Network
Multisource Compensation Network for Remote Sensing Cross-Domain Scene Classification
A Method for the Analysis of Small Crop Fields in Sentinel-2 Dense Time Series
Deep Multiple Instance Convolutional Neural Networks for Learning Robust Scene Representations
Relation Network for Multilabel Aerial Image Classification
Eagle-Eyed Multitask CNNs for Aerial Image Retrieval and Scene Classification

遥感图像分割

Pixel-Level Remote Sensing Image Recognition Based on Bidirectional Word Vectors
Triplet Adversarial Domain Adaptation for Pixel-Level Classification of VHR Remote Sensing Images
Semantic Segmentation of Large-Size VHR Remote Sensing Images Using a Two-Stage Multiscale Training Architecture
A MultiKernel Domain Adaptation Method for Unsupervised Transfer Learning on Cross-Source and Cross-Region Remote Sensing Data Classification
Dense Dilated Convolutions’ Merging Network for Land Cover Classification

遥感图像变化检测

From W-Net to CDGAN: Bitemporal Change Detection via Deep Learning Techniques
Incorporating Metric Learning and Adversarial Network for Seasonal Invariant Change Detection
Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network
Unsupervised Scale-Driven Change Detection With Deep Spatial–Spectral Features for VHR Images

图像匹配

A Residual-Dyad Encoder Discriminator Network for Remote Sensing Image Matching

SAR迁移学习

What, Where, and How to Transfer in SAR Target Recognition Based on Deep CNNs

气象数据

热带气旋强度估计

Tropical Cyclone Intensity Estimation Using Two-Branch Convolutional Neural Network From Infrared and Water Vapor Images

风暴预测

Convolutional Neural Network for Convective Storm Nowcasting Using 3-D Doppler Weather Radar Data

地理数据

地质日志

Physics-Constrained Deep Learning of Geomechanical Logs

地震数据点云上采样

Deep Learning for Irregularly and Regularly Missing 3-D Data Reconstruction

地震检测

Intelligent Real-Time Earthquake Detection by Recurrent Neural Networks

地震数据反演

Well-Logging Constrained Seismic Inversion Based on Closed-Loop Convolutional Neural Network
A Dynamic Time Warping Loss-Based Closed-Loop CNN for Seismic Impedance Inversion
Data-Driven Seismic Waveform Inversion: A Study on the Robustness and Generalization

地震数据亮点检测（Bright Spot Detection）

A Deep Transfer Learning Framework for Seismic Data Analysis: A Case Study on Bright Spot Detection

地震数据噪声抑制

Low-Frequency Desert Noise Intelligent Suppression in Seismic Data Based on Multiscale Geometric Analysis Convolutional Neural Network Infinite Latent Dirichlet Allocation
Poststack Seismic Data Denoising Based on 3-D Convolutional Neural Network

油藏模拟超分辨

A Modified Generative Adversarial Nets Integrated With Stochastic Approach for Realizing Super-Resolution Reservoir Simulation

火山地震预测不确定性量化

Volcano-Seismic Transfer Learning and Uncertainty Quantification With Bayesian Neural Networks

点云

点云分割

TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation

点云配准

PLADE: A Plane-Based Descriptor for Point Cloud Registration With Small Overlap
A Novel Framework to Automatically Fuse Multiplatform LiDAR Data in Forest Environments Based on Tree Locations

激光雷达点云

Using Weighted Total Least Squares and 3-D Conformal Coordinate Transformation to Improve the Accuracy of Mobile Laser Scanning
A Discriminative Tensor Representation Model for Feature Extraction and Classification of Multispectral LiDAR Data

点云3D树分割

3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm
Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks
Improved Supervised Learning-Based Approach for Leaf and Wood Classification From LiDAR Point Clouds of Forests

点云玉米分类分割

Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks

其他

太空目标分类

D2N4: A Discriminative Deep Nearest Neighbor Neural Network for Few-Shot Space Target Recognition

时间序列预测

Forecasting Time Series Albedo Using NARnet Based on EEMD Decomposition

地面雷达威胁检测

Application of Convolutional and Recurrent Neural Networks for Buried Threat Detection Using Ground Penetrating Radar Data

电阻数据反演

Deep Learning Inversion of Electrical Resistivity Data
Deep Learning Inversion of Electrical Resistivity Data by One-Sided Mapping