JOURNAL ARTICLES

Neupane B, Aryal J, Rajabifard A, Pelizari PA, Geiss C (2025). Multilabel Learning with ViT for Building Footprint Extraction from Off-Nadir Aerial Images. IEEE Geoscience and Remote Sensing Letters, 22:1-5. https://doi.org/10.1109/LGRS.2025.3532589

 

Thapa A, Horanont T, Neupane B, Klaylee J, Witayangkurn A (2025). Classification of oil palm tree conditions from UAV imagery using the YOLO object detector. Big Earth Data, 9(4):860-886. https://doi.org/10.1080/20964471.2025.2491881

 

Neupane B, Aryal J, Rajabifard A (2025). Fine-tuning-based transfer learning for building extraction from off-nadir remote sensing images. Remote Sensing, 17(7):1251. https://doi.org/10.3390/rs17071251

Neupane B, Aryal J, Rajabifard A (2024). CNNs for remote extraction of urban features: A survey-driven benchmarking. Expert Systems with Applications, 255:124751. https://doi.org/10.1016/j.eswa.2024.124751

Aryal J, Neupane B (2023). Multi-scale feature map aggregation and supervised domain adaptation of fully convolutional networks for urban building footprint extraction. Remote Sensing, 15(2):488. https://doi.org/10.3390/rs15020488

Thapa A, Horanont T, Neupane B, Aryal J (2023). Deep learning for remote sensing image scene classification: A review and meta-analysis. Remote Sensing, 15(19):4804. https://doi.org/10.3390/rs15194804

Neupane B, Horanont T, Aryal J (2022). Real-Time Vehicle Classification and Tracking Using a Transfer Learning-Improved Deep Learning Network. Sensors, 22(10). https://doi.org/10.3390/s22103813

Thapa A, Horanont T, Neupane B (2022). Parcel-level flood and drought detection for insurance using Sentinel-2A, Sentinel-1 SAR GRD and mobile images. Remote Sensing, 14(23):6095. https://doi.org/10.3390/rs14236095

Neupane B, Horanont T, Aryal J (2021). Deep learning-based semantic segmentation of urban features in satellite images: A review and meta-analysis. Remote Sensing, 13(4):808. https://doi.org/10.3390/rs13040808

Neupane B, Horanont T, Hung ND (2019). Deep learning-based banana plant detection and counting using high-resolution RGB images collected from UAV. PLOS ONE, 14(10):e0223906. https://doi.org/10.1371/journal.pone.0223906


PATENTS

 

Horanont, T., & Neupane, B. (2022). A deep learning model for counting banana trees from unmanned aerial vehicle imagery [Patent application No. 2201004140; Publication No. 2201004140A]. Department of Intellectual Property, Ministry of Commerce, Thailand. (Applicant: Thammasat University). Link: https://patentpub.ipthailand.go.th/_AppPublic/PublicAttach.aspx?appno=2201004140

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CONFERENCE PAPERS

Neupane B, Aryal J, Rajabifard A (2025). A Novel Edge and Distance Aware Vision Transformer U-Net for Building Boundary Regularisation. IGARSS 2025, pp 7944-7948. https://doi.org/10.1109/IGARSS55030.2025.11244010

Neupane B, Aryal J, Rajabifard A (2024). Open Mutual Learning: Ensemble of CNNs for Urban Building Footprint Extraction with Open Data. IGARSS 2024, pp 8131-8134. https://doi.org/10.1109/IGARSS53475.2024.10642566

Aryal J, Neupane B (2024). Building Footprint Data from Earth Observation Contribute to Sustainable City Planning: A Perspective. IGARSS 2024, pp 9786-9789. https://doi.org/10.1109/IGARSS53475.2024.10642685

Khatiwada P, Neupane B, Khezrabad MA, Lumantarna E, Lam N (2024). Evaluation of the Safety of Reinforced Concrete Buildings Post-Earthquake for Swift Rescue and Recovery. AEES 2024 National Conference. https://aees.org.au/wp-content/uploads/2024/11/18.-Prashidha-Khatiwada-1.pdf

Neupane B, Aryal J, Rajabifard A (2023). Knowledge transfer and model compression for misaligned building labels. IGARSS 2023, pp 3632-3635. https://doi.org/10.1109/IGARSS52108.2023.10282881

Neupane B, Aryal J, Rajabifard A (2022). Building footprint segmentation using transfer learning: A case study of the City of Melbourne. ISPRS Annals, X-4/W3-2022:173-179. https://doi.org/10.5194/isprs-annals-X-4-W3-2022-173-2022

Neupane B, Horanont T, Pattarapongsin P, Thapa A (2022). Robust and scalable real-time vehicle classification and tracking: a case study of Thailand. ISPRS Annals, X-4/W3-2022:181-187. https://doi.org/10.5194/isprs-annals-X-4-W3-2022-181-2022
 

Thapa A, Neupane B, Horanont T (2022). Object vs pixel-based flood/drought detection in paddy fields using deep learning. IIAI-AAI 2022 (IEEE), pp 455-460. https://doi.org/10.1109/IIAIAAI55812.2022.00095

Pattarapongsin P, Neupane B, Vorawan J, Sutthikulsombat H, Horanont T (2020). Real-time drowsiness and distraction detection using computer vision and deep learning. 11th International Conference on Advances in IT (ACM), pp 1-6. https://doi.org/10.1145/3406601.3406638

Neupane B, Horanont T, Duy HN, Suebvong S, Mahattanawutakorn T (2019). An open-source UAV image processing web service for crop health monitoring. IIAI-AAI 2019 (IEEE), pp 11-16. https://doi.org/10.1109/IIAI-AAI.2019.00014

Neupane B, Hung ND, Horanont T (2018). Weather Scenario Generation Game. KICSS 2018 (IEEE), pp 1-6. https://doi.org/10.1109/KICSS45055.2018.8950625

BOOK CHAPTERS

Neupane B, Aryal J, Rajabifard A (2026). An Intelligent Framework for Developing Nationwide Building Footprint Data Product for Australia. Land Intelligence and Geospatial Ecosystem, Taylor & Francis. https://doi.org/10.1201/9781003638308

THESES

Neupane B (2025). Remote Sensing Images and Computer Vision Techniques for Urban Building Footprint Extraction. PhD Thesis, The University of Melbourne. https://hdl.handle.net/11343/361463

Neupane B, Hung ND (2019). Useful AI applications in agriculture: aggregation of machine learning techniques for weather forecasting and banana plant counting. MSc Thesis, Thammasat University. https://ethesisarchive.library.tu.ac.th/thesis/2018/TU_2018_6022040064_10781_10497.pdf

PREPRINTS

Neupane B, Aryal J, Rajabifard A (2023). Rethinking the U-Net, ResUnet, and U-Net3+ architectures with dual skip connections for building footprint extraction. arXiv:2303.09064. https://doi.org/10.48550/arXiv.2303.09064

Neupane B, Aryal J, Rajabifard A (2023). A comparative study of knowledge transfer methods for misaligned urban building labels. arXiv:2311.03867. https://doi.org/10.48550/arXiv.2311.03867

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