Research output per year
Research output per year
Personal profile
Research interests
Computer vision, image processing.
Object recognition and feature extraction from image and/or lidar data with limited training samples by deep transfer learning or few-shot learning.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer Vision, Photogrammetry, Doctor of Philosophy, Segment-based Classification of Mobile Lidar Point Clouds with Limited Samples, University of Melbourne
17 Nov 2015 → 9 Sept 2020
Award Date: 13 Jan 2021
Photogrammetry and Remote Sensing, Master of Engineering, Peking University
1 Sept 2012 → 1 Jul 2015
Award Date: 15 Jul 2015
Remote Sensing and Photogrammetry, Bachelor of Engineering, Wuhan University
1 Sept 2008 → 1 Jul 2012
Award Date: 1 Jul 2012
External positions
The University of Melbourne
1 Mar 2021 → 1 Aug 2021
Research area keywords
- Image forensics
- Lidar point clouds
- shot-learning
- transfer learning
- classification
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Individual tree extraction from urban mobile laser scanning point clouds using deep pointwise direction embedding
Luo, H., Khoshelham, K., Chen, C. & He, H., May 2021, In: ISPRS Journal of Photogrammetry and Remote Sensing. 175, p. 326-339 14 p.Research output: Contribution to journal › Article › Research › peer-review
28 Citations (Scopus) -
A multiclass TrAdaBoost transfer learning algorithm for the classification of mobile lidar data
He, H., Khoshelham, K. & Fraser, C., Aug 2020, In: ISPRS Journal of Photogrammetry and Remote Sensing. 166, p. 118-127 10 p.Research output: Contribution to journal › Article › Research › peer-review
15 Citations (Scopus) -
Classification of mobile lidar data using vox-net and auxiliary training samples
He, H., Khoshelham, K. & Fraser, C., 5 Jun 2019, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Workshop on Semantic Scene Analysis and 3D Reconstruction from Images and Image Sequences (Semantics3D 2019). Rottensteiner, F. & Yilmaz, A. (eds.). Germany: Copernicus GmbH, p. 1001-1006 6 p. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives; vol. 42, no. 2/W13).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
Open AccessFile -
A two-step classification approach to distinguishing similar objects in mobile lidar points clouds
He, H., Khoshelham, K. & Fraser, C., 12 Sept 2017, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2017. Li, D., Gong, J., Yang, B., Wu, H., Lindenbergh, R., Boehm, J., Rutzinger, M., Yao, W., Weinmann, M., Zhang, Y., Hansch, R., Shahbazi, M., Haala, N., Rothermel, M., Wu, L., Gui, Z., Cheng, X., Wu, H., Li, S., Kang, Z., Khoshelham, K., Peter, M., Díaz-Vilariño, L., Balz, T., Osmanoglu, B., Rocca, F., Sorgel, U. & Heipke, C. (eds.). Germany: Copernicus GmbH, p. 67-74 8 p. (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; vol. 4).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
Open AccessFile7 Citations (Scopus) -
Application analysis of Internet of Things in intelligent transportation
Zhang, F. Z., He, H. X. & Zhao, L. J., 2013, Information Technology Applications in Industry II. p. 2662-2666 5 p. (Applied Mechanics and Materials; vol. 411-414).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
2 Citations (Scopus)