Abhisek Maiti completed his masters in Earth Observation and joined as a PhD researcher at Faculty of Geo-information Science and Earth Observation, University of Twente. Abhisek also holds another MSc degree in Computer Science from St. Xavier's College Kolkata, India.

His research interests lie in the area of active remote sensing, ranging algorithm development and implementation for LiDAR point cloud processing to SAR data calibration, processing and information extraction. He often experiments with various machine learning techniques focusing on the earth observation related applications. He is also quite interested in extending and adopting algorithms for modelling lunar and planetary environment. He actively participates in research activities and collaborative works.

In his free time he likes to contribute to the open source community or fiddle with electronics. He also likes to spend his holidays hiking in the mountains.

Organisations

Publications

2024

Multi-Modal Earth Observation and Deep Learning for Urban Scene Understanding (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Maiti, A.https://doi.org/10.3990/1.9789036560290UAVPal: A New Dataset for Semantic Segmentation in Complex Urban Landscape with Efficient Multiscale Segmentation (2024)IEEE Journal of selected topics in applied earth observations and remote sensing, 17, 464-475. Maiti, A., Elberink, S. O. & Vosselman, G.https://doi.org/10.1109/JSTARS.2023.3330758

2023

UAVPal (2023)[Dataset Types › Dataset]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Maiti, A., Oude Elberink, S. & Vosselman, G.https://doi.org/10.17026/dans-z55-6gt4TransFusion: Multi-modal Fusion Network for Semantic Segmentation (2023)In Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023 (pp. 6537-6547) (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2023-June). IEEE. Maiti, A., Elberink, S. O. & Vosselman, G.https://doi.org/10.1109/CVPRW59228.2023.00695

2022

Effect of label noise in semantic segmentation of high resolution aerial images and height data (2022)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Congress “Imaging today, foreseeing tomorrow”, Commission II (pp. 275-282) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Maiti, A., Oude Elberink, S. J. & Vosselman, G.https://doi.org/10.5194/isprs-annals-V-2-2022-275-2022Polarimetric calibration of spaceborne and airborne multifrequency SAR data for scattering-based characterization of manmade and natural features (2022)Advances in space research, 69(4), 1684-1714. Kumar, S., Babu, A., Agrawal, S., Asopa, U., Shukla, S. & Maiti, A.https://doi.org/10.1016/j.asr.2021.02.023

2021

A computationally efficient hybrid framework for polarimetric calibration of Quad-Pol SAR data (2021)Earth and Space Science, 8(3), 1-22. Article e2020EA001447. Maiti, A., Kumar, S., Tolpekin, V. & Agarwal, S.https://doi.org/10.1029/2020EA001447

2020

Polarimetric calibration of l-band airborne sar data (2020)In XXIV ISPRS Congress, Commission I 2020 (pp. 369-374) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. V-1-2020). International Society for Photogrammetry and Remote Sensing (ISPRS). Maiti, A., Kumar, S., Tolpekin, V. & Agarwal, S.https://doi.org/10.5194/isprs-annals-V-1-2020-369-2020Polarimetric SAR calibration and processing tool V1.0: A tool for polarimetric calibration and processing of SAR data (2020)In 7th International Conference on Signal Processing and Integrated Networks, SPIN 2020 (pp. 459-464). Article 9071299 (Proceedings International Conference on Signal Processing and Integrated Networks (SPIN); Vol. 2020). IEEE. Kumar, S., Kumari, V., Alice, A., Bhanu Prakash, M. E., Babu, A., Maiti, A. & Agrawal, S.https://doi.org/10.1109/SPIN48934.2020.9071299

Research profiles

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