Publications - 2020

A. Anghel, Azimuth in Synthetic Aperture Radars, capitol publicat în cartea ,,Advances in Engineering Research. Volume 35", editor: Victoria M. Petrova, Nova Science Publishers, 2020, eBook ISBN: 978-1-53617-852-4, Hardcover ISBN: 978-1-53617-851-7

A. Anghel, Compressive Sensing in Microwave Imaging: Synthetic and Metamaterial Apertures, capitol publicat în cartea ,,Compressive sensing - Methods and Applications", editor: Raymond Matthews, Nova Science Publishers, 2020, ISBN: 978-1-53617-560-8

A. Anghel, R. Cacoveanu, Microunde - Noțiuni fundamentale, MatrixRom, Cod CNCSIS 39, 144 pagini, 2020, ISBN: 978-606-25-0554-7

A. C. Grivei; I. Coca; F. A. Georgescu; A. Griparis; C. Vaduva; Z. Bartalis and M. Datcu - Multispectral Data Analysis for Semantic Assessment—A SNAP Framework for Sentinel-2 Use Case Scenarios, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 13, pp. 4429 – 4442, 2020, DOI: 10.1109/JSTARS.2020.3013091.

Bărbulescu, V. B., Griparis, A., & Datcu, M. (2020, June). A Bag-of-Words framework for natural disaster evaluation on Sentinel-2 image. In 2020 13th International Conference on Communications (COMM) (pp. 193-196). IEEE.

Belu, S., & Coltuc, D. (2020, November). An innovative algorithm for data differencing. In 2020 International Symposium on Electronics and Telecommunications (ISETC) (pp. 1-4). IEEE.

C. Vaduva, F.A. Georgescu, A.C. Grivei, I. (Neagoe) Coca, A. Griparis, Z. Bartalis, M. Datcu Sentinel-2 data analysis based on explainable features and exploratory visual analysis, ESA PhiWeek 2020, 28 September – 2 October 2020, Virtual Event.

C. Vaduva, M Iapaolo, M. Datcu, "A Scientific Perspective on Big Data in Earth Observation", Book Title: Principles of Data Science, Series Title:Transactions on Computational Science and Computational Intelligence, Publisher: Springer International Publishing, eBook ISBN 978-3-030-43981-1, Hardcover ISBN 978-3-030-43980-4, Series ISSN 2569-7072, DOI 10.1007/978-3-030-43981-1,

Calota, I., Faur, D., & Datcu, M. (2020). DNN-Based Semantic Extraction: Fast Learning from Multispectral Signatures. In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 3672-3675), IEEE.

Calota, I., Faur, D., & Datcu, M. (2020). Low Resolution for DNN in SAR. In 2020 IEEE Radar Conference (RadarConf20) (pp. 1-5). IEEE.

Calota, I., Faur, D., & Datcu, M. DNN for EO: Fast training with reduced datasets, , ESA PhiWeek 2020, 28 September – 2 October 2020, Virtual Event.

Chaudhuri, U. und Banerjee, B. und Bhattacharya, A. und Datcu, M. (2020) A Simplified Framework for Zero-shot Cross-Modal Sketch Data Retrieval. CVPR 2020, 14.-19. 6.2020

Chaudhuri, U. und Banerjee, B. und Bhattacharya, A. und Datcu, M. (2020) CrossATNet - a novel cross-attention based framework for sketch-based image retrieval. Image and Vision Computing, 104, Seite 104003. Elsevier

Chaudhuri, U. und Banerjee, B. und Bhattacharya, A. und Datcu, M. (2020) CMIR-NET: A deep learning based model for cross-modal retrieval in remote sensing. Pattern Recognition Letters, 131, Seiten 456-462. Elsevier

Coca, M., Neagoe, I., & Datcu, M. (2020). Physically Meaningful Dictionaries for EO Crowdsourcing: A ML for Blockchain Architecture. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 3688-3691). IEEE.

Crisan, A. M., Martian, A., Cacoveanu, R., & Coltuc, D. Distance estimation in OFDM inter-satellite links. Measurement, 154, 107479, 2020

Damian, C., & Coltuc, D. (2020, November). Generative Adversarial Networks for Total Electron Content Prediction. In 2020 International Symposium on Electronics and Telecommunications (ISETC) (pp. 1-3). IEEE.

Danisor, C., Pauciullo, A., & Fornaro, G. (2020, December). Benefit of SqueeSAR filtering in topography reconstructions: an example over the Bucharest area with TerraSAR-X. In Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies X (Vol. 11718, p. 117182X). International Society for Optics and Photonics.

Datcu, M. und Moigne, J. Le und Loekken, S. und Soille, P. und Xia, Gui-Song (2020) Special Issue on Big Data From Space. IEEE Transactions on Big Data, 6 (3), Seiten 427-429. IEEE - Institute of Electrical and Electronics Engineers.

F. Rosu, A. Anghel, R. Cacoveanu, B. Rommen and M. Datcu, Multiaperture Focusing for Spaceborne Transmitter/Ground-Based Receiver Bistatic SAR, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 5823-5832, 2020

Focşa, A., Anghel, A., Toma, Ş. A., & Datcu, M. (2020). Synthetic Aperture Radar Focusing Based on Back-Projection and Compressive Sensing. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 2376-2379). IEEE.

Focsa, A., Datcu, M., & Anghel, A. (2020, September). Compressed sensing-based multi-aperture focusing of spaceborne transmitter/stationary receiver bistatic SAR data. In 2020 IEEE Radar Conference (RadarConf20) (pp. 1-4). IEEE.

Focsa, A., Datcu, M., Toma, S. A., Anghel, A., & Cacoveanu, R. (2020, June). Opportunistic Bistatic SAR Image Classification Using Sub-aperture Decomposition. In 2020 13th International Conference on Communications (COMM) (pp. 203-207). IEEE.

Griparis, A., Faur, D., & Datcu, M. (2020). DR-KNN: A Hybrid Approach for Dimensionality Reduction of EO Image Datasets. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 2719-2722). IEEE.

Grivei, A. C., Văduva, C., & Datcu, M. (2020, June). Assessment of Burned Area Mapping Methods for Smoke Covered Sentinel-2 Data. In 2020 13th International Conference on Communications (COMM) (pp. 189-192). IEEE.

Horvath, B., Neghină, C., Griparis, A., & Sultana, A. (2020, October). Automatic Detection of Infantile Hemangioma using Convolutional Neural Network Approach. In 2020 International Conference on e-Health and Bioengineering (EHB) (pp. 1-4). IEEE.

Huang, Z. und Datcu, M. und Pan, Z. und Lei, B. (2020) Deep SAR-Net: Learning objects from signals. ISPRS Journal of Photogrammetry and Remote Sensing, 161, Seiten 179-193. Elsevier

Huang, Z. und Dumitru, C. O. und Pan, Z. und Lei, B. und Datcu, M.(2020) Classification of Large-Scale High-Resolution SAR Images With Deep Transfer Learning.IEEE Geoscience and Remote Sensing Letters, 18 (1), Seiten 107-111

M. Ciuca, A. Anghel, R. Cacoveanu, B. Rommen, S. Ciochina, Single-pass Spaceborne Transmitter-Stationary Receiver Bistatic SAR Tomography – Novel Solution with 3 Imaging Channels, IGARSS 2020, (pp. 124-127). IEEE

M. Ciuca, A. Anghel, R. Cacoveanu, G. Vasile, M. Gay and S. Ciochina, Spaceborne Transmitter - Stationary Receiver Bistatic SAR Polarimetry - Experimental Results. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, (pp. 3869-3872), IEEE

M. Datcu, A.-C. Grivei, D. Espinoza-Molina, C. O. Dumitru, C. Reck, V. Manilici, and G. Schwarz. The Digital Earth Observation Librarian: A Data Mining Approach for Large Satellite Images Archives, Journal: Big Earth Data (TBED), 2020, DOI: 10.1080/20964471.2020.1738196.

Popa, C., & Coltuc, D. (2020, November). Compressive sensing based watermarking as a security layer for computational imaging applications. In 2020 International Symposium on Electronics and Telecommunications (ISETC) (pp. 1-4). IEEE.

Rambour, C und Audebert, N und Koeniguer, E und Le Saux, Bertrand und Crucianu, M und Datcu, M. (2020) Flood Detection in Time Series of Optical and SAR Images. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII (B2), Seiten 1343-1346. ISPRS 2020,

Sacaleanu, D. I., Adamescu, M., Faur, D., Cazacu, C., Florea, B. C., Griparis, A., ... & Giuca, R. Integrated Platform for Ecosystems Monitoring Based on Remote and in Situ Measurements. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 4271-4274). IEEE.

Tong, Xin-Yi und Xia, Gui-Song und Hu, F. und Zhong, Y. und Datcu, M. und Zhang, L. (2020) Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation. IEEE Transactions on Big Data, 6 (3), Seiten 507-521. IEEE - Institute of Electrical and Electronics Engineers.

Xu, F. und Hu, C. und Li, J. und Plaza, A. und Datcu, M. (2020) Special focus on deep learning in remote sensing image processing. Science China Information Sciences, 63, Seiten 1-2. Science Press.

Zhao, J. und Zhang, Z. und Yao, W. und Datcu, M. und Xiong, Huilin und Yu, W. (2020) OpenSARUrban: A Sentinel-1 SAR Image Dataset for Urban Interpretation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, Seiten 187-203.