Publicatii xAI

În propunerea de proiect s-a avut in vedere publicarea a 6 articole de jurnal și 6 articole de conferință. 

Articole de jurnal

1. A. Focsa, A. Anghel and M. Datcu, ”Accelerated Back-Projection SAR Processor on Arbitrary Elliptical Imaging Grid With Azimuth Spectrum Unfolding,” in IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, Art no. 4008005, doi: 10.1109/LGRS.2023.3298696.
2. V. Vasilescu, M. Datcu and D. Faur, ”Sentinel-2 60-m Band Super-Resolution Using Hybrid CNN-GPR Model,” in IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, Art no. 5001905, doi: 10.1109/LGRS.2023.3296188.
3. M. Coca and M. Datcu, ”FPGA Accelerator for Meta-Recognition Anomaly Detection: Case of Burned Area Detection,” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 5247-5259, 2023, doi: 10.1109/JSTARS.2023.3273309.
4. M. Datcu, Z. Huang, A. Anghel, J. Zhao and R. Cacoveanu, ”Explainable, Physics-Aware, Trustworthy Artificial Intelligence: A paradigm shift for synthetic aperture radar,” in IEEE Geoscience and Remote Sensing Magazine, vol. 11, no. 1, pp. 8-25, March 2023, doi: 10.1109/MGRS.2023.3237465.
5. I. Coca Neagoe, D. Faur, C. Vaduva, M. Datcu, ”Band reconstruction using a modified UNet for Sentinel-2 images”, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023.
6. N. -C. Ristea, A. Anghel, M. Datcu, B. Chapron, ”Guided Unsupervised Learning by Subaperture Decomposition for Ocean SAR Image Retrieval”, in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023.
7. I. Calota, D. Faur and M. Datcu, “Dimensionality Reduction of Deep Learning for Earth Observation: Smaller, Faster, Simpler”, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023.
8. M. Coca, I. Coca Neagoe and M. Datcu, ”Hybrid DNN-Dirichlet Anomaly Detection and Ranking: Case of Burned Areas Discovery,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022, Art no. 4414116, doi: 10.1109/TGRS.2022.3207311.
9. Gabriele Cavallaro; Dora B. Heras; Zebin Wu; Manil Maskey; Sebasti´an L´opez; Piotr Gawron; Mihai Coca; Mihai Datcu ”High-Performance and Disruptive Computing in Remote Sensing: HDCRS—A new Working Group of the GRSS Earth Science Informatics Technical Committee
[Technical Committees],” in IEEE Geoscience and Remote Sensing Magazine, vol. 10, no. 2, pp. 329-345, June 2022, doi: 10.1109/MGRS.2022.3145478. (This article does not have the acknowledgment to the project, but it is a joint work with Mihai Coca, emerging from xAI).
10. I. Coca Neagoe, M. Coca, C. Vaduva and M. Datcu, ”Cross-bands information transfer to offset ambiguities and atmospheric phenomena for multispectral data visualization” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 11297-11310, 2021, doi:
10.1109/JSTARS.2021.3123120.
11. J. Ding et al., ”Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges” in IEEE Transactions on Pattern Analysis and Machine Intelligence, 44.11, 2021, doi: 10.1109/ TPAMI.2021.3117983.

Articole de conferință

1. A. Focsa, A. Anghel and M. Datcu, ”Elliptical grid generation for sped-up back-projection on bistatic SAR with ground based stationary receiver,” IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 7832-7835, doi:
10.1109/IGARSS52108.2023.10282479.20
2. N. -C. Ristea, A. Anghel and M. Datcu, ”Sea Ice Segmentation from SAR Data by Convolutional Transformer Networks,” IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 168-171, doi: 10.1109/IGARSS52108.2023.10283427.
3. I. Calota, D. Faur and M. Datcu, ”Estimating NDVI from SAR Images Using DNN,” IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 5232-5235, doi: 10.1109/IGARSS46834.2022.9884313.
4. A. Focsa, A. Anghel and M. Datcu, ”Inter-polarization Mapping via Gaussian Process Regression for Sentinel-1 EW Denoising,” IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 2063-2066, doi: 10.1109/IGARSS46834.2022.9883828.
5. I. Calota, D. Faur and M. Datcu, ”Bag-of-Words for Transfer Learning” 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 808-811, doi: 10.1109/ IGARSS47720.2021.9554776.
6. I. C. Neagoe, C. Vaduva and M. Datcu, ”Haze and Smoke Removal for Visualization of Multispectral Images: A DNN Physics Aware Architecture” 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 2102-2105, doi: 10.1109/IGARSS47720.2021.9553735.21