郭昊南 Pole’s homepage!

Haonan Guo (Pole)

I am currently a PhD student at State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing of Wuhan University, co-supervised by Prof. Liangpei Zhang, Bo Du, Xin Su, Chen Wu, Qian Shi , Deren Li. I plan to graduate in 06/2025, looking for Postdoc position.

I'm interested in AI algorithms for Remote Sensing Image Interpretation. AI+RS+SDGs= Our future!

· Large-scale mapping · Change detection · RS ChatGPT · Foundation model

 

Email  /  Google Scholar  /  ResearchGate  /  Github

Vice Chair-IEEE GRSS Wuhan Student Branch  /  Intern-Geo-spatial Information Science

East Asia Coordinator-IEEE GRSS Young Professionals Community

News

· 02/2024, I will serve as the East Asia Coordinator of IEEE GRSS Young Professionals(YP), happy to be a part of IEEE GRSS YP team!

· 01/2024, Warm welcome to Prof. Jianbing Peng for visiting Wuhan!

· 01/2024, Remote Sensing ChatGPT is submitted to IGARSS2024! See you in Greece!

· 01/2024, Similarity-aware Attention Flow Network for Change Detection, is accepted by IEEE TIP.

· 01/2024, Happy to be recommended to submit a proposal to NSFC! Good Luck!

· 01/2024, My honor to take part in the 2024 IEEE GRSS China Chapter Strategical Planning Session!

· 01/2024, Warm welcome to Prof. Alexander Zipf for visiting China!

 

· 12/2023, I take part in NeurIPS 2023 in New Orleans. A nice selfie with Prof. Andrew Ng and Yann LeCun!!

· 11/2023, I am awarded the Excellent Editorial Intern of GSIS.

· 09/2023, Our Lightweight Building Extraction Decoder, BF-Seg, is shared on arXiv.

· 07/2023, Our Multitask Learning Framework, CRIN, is shared on arXiv.

· 07/2023, Our Metric learning-based loss for Change Detection, DeepCL, is shared on arXiv.

· 06/2023, Our Edge and Semantic Decoupled Network is accepted by IEEE TGRS.

· 05/2023, Our Building Footprint Update Network, published on RSE, is now an ESI hot paper!

· 03/2023, Our Boundary Refinement Network, published on ISPRS P&RS, is now an ESI highly cited paper!

· 03/2023, We are the Champion in Gaofen Challenge on Automated High-Resolution Earth Observation Image Interpretation, Hooray!!!

· 01/2023, Our Scene-driven Building Extraction Network, published on IEEE TGRS, is now an ESI highly cited paper!

· 09/2020, I received my bachelor degree at Sun Yat-sen University (GPA:3.9/4.0, top 5%), advised by Prof. Qian Shi.

 

Nice Shots

Recent Projects

AI+Remote Sensing suffers from poor performance due to the Lack of Prior Knowledge. l have developed several prior knowledge-guided methods for multiple tasks(e.g.building mapping, change detection).

Currently, I am working on the Remote Sensing ChatGPT project, developing an intelligent system for one-stop remote sensing image interpretation.

  • Remote Sensing ChatGPT
  • Paper(IGARSS) | Project Page | Blog | Zhihu

    The potential of LLM in handling remote sensing interpretation has not yet been explored. Remote Sensing ChatGPT is an LLM-powered agent that utilizes ChatGPT to connect various AI models and solve complicated interpretation tasks. Users can simply send a remote sensing image with the corresponding request, and get the interpretation results as well as language feedback from Remote Sensing ChatGPT.

  • Metric-guided Change Detection
  • Paper 1| Paper 2(IEEE TIP)

    I would like to say, DeepCL is super simple and effective! We complement the strong temporal modeling ability of metric learning with the prominent fitting ability of segmentation and propose a deep change feature learning (DeepCL) framework for robust and explainable CD. It is super simple in implementation and is effective!

  • Historical Building Footprint Update
  • Paper(RSE) | Project Page

    Existing building contour databases need to be updated regularly to ensure their validity. We developed a novel algorithm to automatically update the existing building databases to their current status with minimal manual intervention. It is a promising approach for producing up-to-date building footprints in practical applications.(ESI HOT Paper,ESI Highly-cited Paper)

  • Building Boundary Refinement Mapping
  • Paper(ISPRS P&RS) | Project Page

    Obstructions from nearby shadows or trees, varying shapes of rooftops, omission of small buildings, and varying scale of buildings hinder existing automated models for extracting sharp building boundaries.CBR-Net addressed these problems by introducing direction feild for boundary refinement. It achieved SOTA performance on several building footprint datasets.

    Research

    I'm interested in developing simple but effective models for remote sensing interpretation(e.g. segmentation and change detection) using geographical knowledge prior.

    Published Papers:

    1. Deep Building Footprint Update Network: A Semi-Supervised Method for Updating Existing Building Footprint from Bi-Temporal Remote Sensing Images
      Haonan Guo, Qian Shi, A. Marinoni, Bo Du, and Liangpei Zhang
      Remote Sensing of Environment |ESI Hot Paper, ESI Highly Cited Ppaer | paper

     

    1. A Coarse-To-Fine Boundary Refinement Network for Building Footprint Extraction from Remote Sensing Imagery
      Haonan Guo, Bo Du, Liangpei Zhang, and Xin Su
      ISPRS Journal of Photogrammetry and Remote Sensing| ESI Highly Cited Paper | paper

     

    1. Scene-Driven Multitask Parallel Attention Network for Building Extraction in High-Resolution Remote Sensing Images
       Haonan Guo, Qian Shi, Bo Du, Liangpei Zhang, Dongzhi Wang, and Huaxiang Ding,
      IEEE Transactions on Geoscience and Remote Sensing| ESI Highly Cited Paper | paper

     

    1. SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images
      Haonan Guo, Xin Su, Chen Wu, Bo Du, and Liangpei Zhang
      IEEE Transactions on Image Processing | paper

     

    1. Decoupling Semantic and Edge Representations for Building Footprint Extraction from Remote Sensing Images
      Haonan Guo, Xin Su, Chen Wu, Bo Du, and Liangpei Zhang
      IEEE Transactions on Geoscience and Remote Sensing| paper

     

    1.  Scale-Robust Deep-Supervision Network for Mapping Building Footprints From High-Resolution Remote Sensing Images
      Haonan Guo, Xin Su, Shengkun Tang, Bo Du, and Liangpei Zhang
      IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing| paper

    Review Papers

    1.  Intelligence Driven Earth Observation Data Processing and Knowledge Discovery: Progress and Perspective
      Coming Soon~ | Nature Reviews Electrical Engineering | by Prof. Liangpei Zhang

     

    1.  On China’s Earth Observation System: Mission, Vision and Application
      Coming Soon~ | Geo-spatial Information Science | by Prof. Deren Li

    Submitted Papers:

    1. Remote Sensing ChatGPT: Solving Remote Sensing Tasks with ChatGPT and Visual Models
      Haonan Guo, Xin Su, Chen Wu, Bo Du, Liangpei Zhang, Deren Li
      IGARSS 2024, submitted | paper

     

    1. Building-road Collaborative Extraction from Remotely Sensed Images via Cross-Interaction
      Haonan Guo, Xin Su, Chen Wu, Bo Du, Liangpei Zhang
      IEEE TGRS, submitted | paper

     

    1. Expediting Building Footprint Segmentation from High-resolution Remote Sensing Images via progressive lenient supervision
      Haonan Guo, Bo Du, Chen Wu, Xin Su, Liangpei Zhang
      ISPRS P&RS, submitted | paper

     

    1. DeepCL: Deep Change Feature Learning on Remote Sensing Images in the Metric Space
      Haonan Guo, Bo Du, Chen Wu, Xin Su, Chengxi Han, Liangpei Zhang
      IEEE TNNLS, submitted | paper

    Services

  • Vice Chair of IEEE GRSS Wuhan Studet Branch Chapter.

  • Student Intern of Geo-spatial Information Science.

  • Member of ISPRS Student Consortium.

  • Journal Reviewers of RSE, ISPRS P&RS, IEEE TGRS, JAG, etc.

  • Awards

  • 2023, Champion in Gaofen Challenge on Automated High-Resolution Earth Observation Image Interpretation
  • 2023, Champion in the Building Footprint Extraction Competition in Aliyun Tianchi Competition
  • 2023, Outstanding Student Leader by Wuhan University
  • 2023, First Prize of the Wuhan University Excellent Academic Scholarship
  • 2022, First Place Presentation in the International Graduate Workshop on GeoInformatics (IGWG)
  • 2022, First prize in the National Graduate Academic Forum of National Remote Sensing Bulletin
  • 2022, Second Prize of Academic Innovation Award by Wuhan University
  • 2019, Baosteel Fellowship
  • 2018, National Scholarship
  • 2018, Second Prize in the National GIS Application Skills Competition