Expertise

  • Earth and Planetary Sciences

    • Image
    • High Resolution
    • Quality
    • Satellite Imagery
    • Assessment
    • Pilotless Aircraft
    • Imagery
    • Building

Organisations

Publications

Jump to: 2024 | 2023

2023

Mathematical Camera Array Optimization for Face 3D Modeling Application (2023)Sensors (Switzerland), 23(24). Article 9776. Alsadik, B., Spreeuwers, L., Dadrass Javan, F. & Manterola, N.https://doi.org/10.3390/s23249776Automatic built-up area extraction by feature-level fusion of Luojia 1–01 nighttime light and Sentinel satellite imageries in Google Earth Engine (2023)Advances in space research, 72(4), 1052-1069. Samadzadegan, F., Toosi, A. & Dadrass Javan, F.https://doi.org/10.1016/j.asr.2023.05.015Architectural heritage 3D modelling using unmanned aerial vehicles multi-view imaging (2023)In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 29th CIPA Symposium “Documenting, Understanding, Preserving Cultural Heritage. Humanities and Digital Technologies for Shaping the Future” (pp. 1395-1402) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Copernicus. Samadzadegan, F., Dadrass Javan, F. & Zeynalpoor Asl, M.https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1395-2023Fusion of UAV-based infrared and visible images for thermal leakage map generation of building facades (2023)Heliyon, 9(3). Article e14551. Motayyeb, S., Samadzedegan, F., Dadrass Javan, F. & Hosseinpour, H.https://doi.org/10.1016/j.heliyon.2023.e14551Building change detection using the parallel spatial-channel attention block and edge-guided deep network (2023)International Journal of Applied Earth Observation and Geoinformation (JAG), 117. Article 103180. Eftekhari, A., Samadzadegan, F. & Dadrass Javan, F.https://doi.org/10.1016/j.jag.2023.103180Improving semantic segmentation of high-resolution remote sensing images using Wasserstein generative adversarial network (2023)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 45-51) (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Hosseinpour, H. r., Samadzadegan, F., Dadrass javan, F. & Motayyeb, S.https://doi.org/10.5194/isprs-archives-XLVIII-4-W2-2022-45-2023UAV Remote Sensing for Smart Agriculture (2023)GIM International, 2023(1), 14-17. Article issue 7 volume 36. Alsadik, B., Dadrass Javan, F. & Nex, F. C.Automatic road crack recognition based on deep learning networks from UAV imagery (2023)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 685-690) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Samadzadegan, F., Dadrass javan, F., Hasanlou, M., Gholamshahi, M. & Ashtari mahini, F.https://doi.org/10.5194/isprs-annals-X-4-W1-2022-685-2023Decision-based fusion of pansharpened VHR satellite images using two-level rolling self-guidance filtering and edge information (2023)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 691-698) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Samadzadegan, F., Toosi, A., Dadrass javan, F. & Stein, A.https://doi.org/10.5194/isprs-annals-X-4-W1-2022-691-2023Effect of keyframes extraction from thermal infrared video stream to generate dense point cloud of the building's facade (2023)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 551-561) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Motayyeb, S., Samadzadegan, F., Dadrass javan, F. & Hosseinpour, H. r.https://doi.org/10.5194/isprs-annals-X-4-W1-2022-551-2023Evaluation of the potential of aerial thermal imagery to generate 3D point clouds (2023)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 57-62) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Alebooye, S., Samadzadegan, F. & Dadrass javan, F.https://doi.org/10.5194/isprs-annals-X-4-W1-2022-57-2023Building change detection by W-shape resunet++ network with triple attention mechanism (2023)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 23-29) (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Eftekhari, A., Samadzadegan, F. & Dadrass javan, F.https://doi.org/10.5194/isprs-archives-XLVIII-4-W2-2022-23-2023Empowering students with geospatial solutions through challenge-based learning (2023)In SEFI 2023 - 51st Annual Conference of the European Society for Engineering Education: Engineering Education for Sustainability, Proceedings (pp. 315-324) (SEFI 2023 - 51st Annual Conference of the European Society for Engineering Education: Engineering Education for Sustainability, Proceedings). Societe Europeenne pour la Formation des Ingenieurs (SEFI). Dadrass Javan, F., Nex, F., Samadzadegan, F., Alsadik, B., Buuk, L. & Askari, O.https://doi.org/10.21427/H6EN-NS11

Research profiles

Current projects

A Challenge-based Learning Framework Design and Practice for UAV Photogrammetry (CBL4UAV)

CBL4UAV

The massive introduction of UAVs in our society has made these platforms and their data collection a very popular subject for education in a wide number of institutions (universities, life-long learning centers, applied-sciences, etc.) all over the World. Experts in agriculture, urban planning, mining, disaster management (just to give an example) are using UAV for data collection and information extraction: however, these professionals often operate without having any specific education in photogrammetry (and often without being aware of using it). Increasing the awareness for photogrammetry in these communities with some basic but essential concepts would be beneficial for its correct use. To be successful, these education modules would need to be embedded in an educational framework closer to their professional interests, different from traditional teaching methods. In this regard, Challenge Based Learning (CBL) looks a promising solution for this purpose as it can perfectly tailor the content for different backgrounds and needs. CBL is a collaborative learning experience where students and teachers work together to propose solutions to real-life problems, becoming a valid alternative for traditional education methods especially for students from other domains. This Educational and Capacity Building Initiative project aims at delivering guidelines on how to deliver UAV photogrammetry education in a Challenge-Based Learning framework for our community. The guidelines will be organized according to written texts, micro-lectures, and webinars. In addition, the project will fine-tune this educational methodology on a real pilot course to point possible problems out in the early stage and give a practical example to our community.

Address

University of Twente

Langezijds (building no. 19), room 1221
Hallenweg 8
7522 NH Enschede
Netherlands

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