基本信息

刁文辉  男  硕导  中国科学院空天信息创新研究院
电子邮件: diaowh@aircas.ac.cn
通信地址: 北京市海淀区中关村北一条9号
邮政编码: 100190

研究领域

计算机视觉与遥感图像理解
地理空间大数据解译

招生信息

   
招生专业
081002-信号与信息处理
招生方向
遥感图像解译,人工智能与模式识别,计算机视觉

教育背景

2011-09--2016-07   中国科学院大学   工学博士
2007-09--2011-07   西安电子科技大学   工学学士

工作经历

   
工作简历
2020-11~现在, 中国科学院空天信息创新研究院, 副研究员
2019-07~2020-10,中国科学院空天信息创新研究院, 助理研究员
2016-07~2019-06,中国科学院电子学研究所, 助理研究员
社会兼职
2020-12-15-今,Remote Sensing期刊, 客座编委

教授课程

遥感图像智能解译:从统计学习到深度认知

专利与奖励

   
科技奖励与荣誉

1)北京市科技进步一等奖2024

2)入选中国科学院青年创新促进会会员,2021

3)入选中国科学院空天信息创新研究院“未来之星”人才计划,2020

4)第四届高分辨率对地观测学术年会优秀论文奖,2017

专利

1)一种基于弱监督的遥感图像地物要素提取方法及系统,2021,第1作者,CN111860173B

2)一种基于轻量化网络的无人机影像车辆检测方法及装置,2021,第2作者,CN111860175B

3)基于自注意特征聚合网络的遥感图像语义分割方法及装置,2021,第2作者,CN111582104B

4)基于kubernetes的自动机器学习方法及系统,2021,第2作者,CN113011559A

5)基于多维度模型的算法效能评估方法,2021,第2作者,CN112700158A

6)基于任务域知识迁移的神经网络持续学习方法及装置,2021,第2作者,CN112580806A

7)一种网络自适应半精度量化的图像处理方法和系统,2020,第2作者,CN111582229A

8)一种遥感图像语义分割方法及装置,2020,第2作者,CN111582104A

9)一种遥感图像检测方法及系统,2020,第2作者,CN111582101A

10)一种基于轻量化蒸馏网络的遥感图像目标检测方法及系统,2020,第2作者,2020103499356

11)一种基于人工智能的在线协同化遥感图像标注系统,2021,第3作者,CN111580947B

12)一种基于动态注意力机制的遥感目标快速检测方法及系统,2021,第3作者,CN111626176B

13)一种遥感图像的地物目标检测方法及系统,2020,第3作者,CN111626176A

14)一种基于自动化轻量级神经网络的数据处理方法及装置,2020,第3作者,CN111582475A

出版信息

   
发表著作
(1) 地理空间大数据分析:方法与应用, 国防工业出版社, 2021-04, 第 4 作者
学术论文

2023

1AIR-PV: a benchmark dataset for photovoltaic panel extraction in optical remote sensing imagery. Science China Information Sciences2023,通讯作者

2OGMN: Occlusion-guided multi-task network for object detection in UAV images. ISPRS Journal of Photogrammetry and Remote Sensing2023,通讯作者

 

2022

1SIL-LAND: Segmentation Incremental Learning in Aerial Imagery via LAbel Number Distribution Consistency. IEEE Transactions on Geoscience and Remote Sensing2022,通讯作者

2Dynamic Interactive Learning for Lightweight Detectors in Remote Sensing Imagery.

IEEE Transactions on Geoscience and Remote Sensing2022,通讯作者

3Historical Information-Guided Class-Incremental Semantic Segmentation in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing2022,第3作者

 

2021

1AF-EMS Detector: Improve the Multi-Scale Detection Performance of the Anchor-Free Detector. REMOTE SENSING2021,通讯作者

2C3Net: Cross-Modal Feature Recalibrated, Cross-Scale Semantic Aggregated and Compact Network for Semantic Segmentation of Multi-Modal High-Resolution Aerial Images. REMOTE SENSING2021,通讯作者

3CBF-Net: An Adaptive Context Balancing and Feature Filtering Network for Point Cloud Classification. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING2021,通讯作者

4PCAN-Part-Based Context Attention Network for Thermal Power Plant Detection in Remote Sensing Imagery. REMOTE SENSING2021,第2作者

5Continual Learning With Structured Inheritance for Semantic Segmentation in Aerial Imagery. IEEE Transactions on Geoscience and Remote Sensing2021,第3作者

6Double Similarity Distillation for Semantic Image Segmentation. IEEE TRANSACTIONS ON IMAGE PROCESSING2021,第3作者

7Dynamic Pseudo-Label Generation for Weakly Supervised Object Detection in Remote Sensing Images. REMOTE SENSING2021,第4作者

8)遥感大数据条件下多星一体化处理与分析. 遥感学报,2021,第4作者

9SRAF-Net: Shape Robust Anchor-Free Network for Garbage Dumps in Remote Sensing Imagery. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING2021,第5作者

10Lu, Wanxuan, Gong, Dong, Fu, Kun, Sun, Xian, Diao, Wenhui, Liu, Lingqiao. Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations. PATTERN RECOGNITION2021,第5作者

 

2020

1DIAMONDNET: SHIP DETECTION IN REMOTE SENSING IMAGES BY EXTRACTING AND CLUSTERING KEYPOINTS IN A DIAMOND. ISPRS ANNALS OF THE PHOTOGRAMMETRY2020,通讯作者

2AUTOMATED AND LIGHTWEIGHT NETWORK DESIGN VIA RANDOM SEARCH FOR REMOTE SENSING IMAGE SCENE CLASSIFICATION. ISPRS ANNALS OF THE PHOTOGRAMMETRY2020,通讯作者

3NPALOSS: NEIGHBORING PIXEL AFFINITY LOSS FOR SEMANTIC SEGMENTATION IN HIGH-RESOLUTION AERIAL IMAGERY. ISPRS ANNALS OF THE PHOTOGRAMMETRY2020,通讯作者

4FMSSD: Feature-Merged Single-Shot Detection for Multiscale Objects in Large-Scale Remote Sensing Imagery. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING2020,第3作者

5)遥感边缘智能技术研究进展及挑战. 中国图象图形学报,2020,第3作者

6SAR Target Classification Based on Sample Spectral Regularization. REMOTE SENSING2020,第3作者

7FGATR-Net: Automatic Network Architecture Design for Fine-Grained Aircraft Type Recognition in Remote Sensing Images. REMOTE SENSING2020,第3作者

8Topological Space Knowledge Distillation for Compact Road Extraction in Optical Remote Sensing Images. REMOTE SENSING2020,第4作者

9Compact Cloud Detection with Bidirectional Self-Attention Knowledge Distillation. REMOTE SENSING2020,第4作者

10Convolutional Neural Network-Based Transfer Learning for Optical Aerial Images Change Detection. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS2020,第6作者

11FAS-Net: Construct Effective Features Adaptively for Multi-Scale Object Detection. National Conference on Artificial Intelligence.Association for the Advancement of Artificial Intelligence (AAAI)2020,第6作者

12JMLNet: Joint Multi-Label Learning Network for Weakly Supervised Semantic Segmentation in Aerial Images. REMOTE SENSING2020,第6作者

 

2019

1Ship Instance Segmentation From Remote Sensing Images Using Sequence Local Context Module. 2019 IEEE International Geoscience and Remote Sensing Symposium2019,第2作者

2Semantic Labeling for High-Resolution Aerial Images Based on the DMFFNet. 2019 IEEE International Geoscience and Remote Sensing Symposium2019,第2作者

3Towards Automated Ship Detection and Category Recognition from High-Resolution Aerial Images. REMOTE SENSING2019,第2作者

4LAM: Remote Sensing Image Captioning with Label-Attention Mechanism. REMOTE SENSING2019,第2作者

5Ground Moving Target Indication Based on Optical Flow in Single-Channel SAR. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS2019,第3作者

6End-to-End DSM Fusion Networks for Semantic Segmentation in High-Resolution Aerial Images. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS2019,第4作者

7AIR-SARShip-1.0:高分辨率SAR舰船检测数据集. 雷达学报,2019,第4作者

8IoU-Adaptive Deformable R-CNN: Make Full Use of IoU for Multi-Class Object Detection in Remote Sensing Imagery. REMOTE SENSING2019,第4作者

9Mergenet: Feature-Merged Network for Multi-Scale Object Detection in Remote Sensing Images. 2019 IEEE International Geoscience and Remote Sensing Symposium2019,第6作者

 

2018

1Aircraft Detection in Sar Images Using Saliency Based Location Regression Network.  2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM2018,第1作者

2Remote Sensing Image Change Detection Method Based on DBN and Object Fusion. Computer Engineering2018,通讯作者

3WSF-NET: Weakly Supervised Feature-Fusion Network for Binary Segmentation in Remote Sensing Image. REMOTE SENSING2018,第3作者

4Aircraft Recognition in SAR Images Based on Scattering Structure Feature and Template Matching. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING2018,第4作者

 

2017

1Aircraft Reconstruction in High-Resolution SAR Images Using Deep Shape Prior. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION2017,通讯作者

2Extracting rooftops from remote sensing images using both top-down and bottom-up processes. REMOTE SENSING LETTERS2017,第3作者

3Vehicle detection in remote sensing images using denoizing-based convolutional neural networks. REMOTE SENSING LETTERS2017,第6作者

 

 

2015~2016

1Efficient Saliency-Based Object Detection in Remote Sensing Images Using Deep Belief Networks. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS2016,第1作者

2Shape-based object extraction in high-resolution remote-sensing images using deep Boltzmann machine. INTERNATIONAL JOURNAL OF REMOTE SENSING2016,第1作者

3Object recognition in remote sensing images using sparse deep belief networks. REMOTE SENSING LETTERS2015,第1作者

4Aircraft recognition in high resolution SAR images using saliency map and scattering structure features. 2016 IEEE International Geoscience and Remote Sensing Symposium2016,第2作者

5Model selection for high resolution InSAR coherence statistics over urban areas and its application in building detection. 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)2016,第3作者

6Automatic building reconstruction from high resolution InSAR data using stochastic geometrical model. 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)2016,第4作者

科研活动

   
科研项目
( 1 ) 基于深度端到端模型的大场景遥感图像人造目标快速检测方法研究, 负责人, 国家任务, 2018-01--2020-12
( 2 ) 基于面基元模板稀疏重构的遥感图像目标识别方法, 负责人, 国家任务, 2017-12--2018-12
( 3 ) 高分专项基础支撑技术SAR图像目标识别, 负责人, 国家任务, 2019-12--2021-06
( 4 ) 遥感解译系统综合集成应用系统, 参与, 国家任务, 2021-05--2022-09
( 5 ) 大数据背景下基于深度学习的多源数据分析技术, 参与, 国家任务, 2016-10--2020-12
( 6 ) 遥感卫星地面应用处理系统, 负责人, 国家任务, 2021-05--2022-09
( 7 ) 高分专项测试评估平台, 参与, 国家任务, 2019-12--2021-06
( 8 ) 基于成像机理和知识认知的跨模态基础模型构建研究, 负责人, 国家任务, 2023-03--2024-02
( 9 ) 模型生长训练平台, 负责人, 国家任务, 2022-08--2024-07

指导学生

现指导学生

辛林霖  硕士研究生  19250  

凌通  硕士研究生  19250