- Dawid Połap, Natalia Wawrzyniak, Marta Włodarczyk-Sielicka
„Side-scan sonar analysis using roi analysis and deep neural networks”
IEEE Transactions on Geoscience and Remote Sensing (2022),
DOI: 10.1109/TGRS.2022.3147367
- Marta Włodarczyk-Sielicka, Dawid Połap, Katarzyna Prokop, Karolina Połap, Andrzej Stateczny
„Spatial Visualization Based on Geodata Fusion Using an Autonomous Unmanned Vessel”
Remote Sensing MDPI (Multidisciplinary Digital Publishing Institute) (2023),
DOI: 10.3390/rs15071763
- Patryk Biernacik, Witold Kazimierski, Marta Włodarczyk-Sielicka
„Comparative Analysis of Selected Geostatistical Methods for Bottom Surface Modeling”
Sensors 23.8 (2023):3941,
DOI: 10.3390/s23083941
- Wiktor Mujta, Marta Włodarczyk-Sielicka, Andrzej Stateczny
„Testing the Effect of Bathymetric Data Reduction on the Shape of the Digital Bottom Model”
Sensors 23.12 (2023):5445,
DOI: 10.3390/s23125445
- Dawid Połap, Antoni Jaszcz, Natalia Wawrzyniak, Grzegorz Zaniewicz
„Bilinear pooling with poisoning detection module for automatic side scan sonar data analysis”
IEEE Access (2023),
DOI: 10.1109/ACCESS.2023.3295693
- Katarzyna Prokop, Karolina Połap, Marta Włodarczyk-Sielicka, Antoni Jaszcz
„End-to-end system for monitoring the state of rivers using a drone”
Frontiers in Environmental Science (2023),
DOI: 10.3389/fenvs.2023.1303067
- Katarzyna Prokop, Dawid Połap, Marta Włodarczyk-Sielicka, Karolina Połap, Antoni Jaszcz, Andrzej Stateczny
„Automated shoreline extraction process for unmanned vehicles via U-net with heuristic algorithm”
Alexandria Engineering Journal (Volume 102, September 2024, Pages 108-118)
DOI: 10.1016/j.aej.2024.05.104
- Ilona Garczyńska-Cyprysiak, Witold Kazimierski, Marta Włodarczyk-Sielicka
„Neural Approach to Coordinate Transformation for LiDAR–Camera Data Fusion in Coastal Observation”
Sensors 2024, 24(20), 6766
DOI: 10.3390/s24206766
- Antoni Jaszcz, Marta Włodarczyk-Sielicka, Andrzej Stateczny, Dawid Połap, Ilona Garczyńska
„Automated Shoreline Segmentation in Satellite Imagery Using USV Measurements”
Remote Sens. 2024, 16(23), 4457;
DOI: 10.3390/rs16234457