APA | Original Link | arXiv or similar |
---|---|---|
Mauro, F., Sebastianelli, A., Saux, B. L., Gamba, P., & Ullo, S. L. (2024). A Hybrid MLP-Quantum approach in Graph Convolutional Neural Networks for Oceanic Nino Index (ONI) prediction. arXiv preprint arXiv:2401.16049. | link | link |
Mauro, F., Sebastianelli, A., Del Rosso, M. P., Gamba, P., & Ullo, S. L. (2024). QSpeckleFilter: a Quantum Machine Learning approach for SAR speckle filtering. arXiv preprint arXiv:2402.01235. | link | link |
Pasetto, E., Riedel, M., Michielsen, K., & Cavallaro, G. (2024). Kernel Approximation on a Quantum Annealer for Remote Sensing Regression Tasks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. | link | link |
Malarvanan, A. S. (2024). Hybrid Quantum Neural Network Advantage for Radar-Based Drone Detection and Classification in Low Signal-to-Noise Ratio. arXiv preprint arXiv:2403.02080. | link | link |
APA | Original Link | arXiv or similar |
---|---|---|
Ullo, S. L., Mauro, F., Sebastianelli, A., Le Saux, B., & Gamba, P. E. (2024). Enhancing Earth Observation with Hybrid Quantum Neural Networks. AGU23. | link | link |
Sebastianelli, A., Del Rosso, M. P., Ullo, S. L., & Gamba, P. (2023). On Quantum Hyperparameters Selection in Hybrid Classifiers for Earth Observation Data. IEEE Geoscience and Remote Sensing Letters. | link | link |
Delilbasic, A., Le Saux, B., Riedel, M., Michielsen, K., & Cavallaro, G. (2023). A single-step multiclass svm based on quantum annealing for remote sensing data classification. IEEE journal of selected topics in applied earth observations and remote sensing. | link | link |
Miroszewski, A., Nalepa, J., Saux, B. L., & Mielczarek, J. (2023). Quantum Machine Learning for Remote Sensing: Exploring potential and challenges. arXiv preprint arXiv:2311.07626. | link | link |
Gupta, M. K., Romaszewski, M., & Gawron, P. (2023). Potential of quantum machine learning for processing multispectral Earth observation data. Authorea Preprints. | link | link |
Chang, S. Y., Grossi, M., Le Saux, B., & Vallecorsa, S. (2023, September). Approximately equivariant quantum neural network for p4m group symmetries in images. In 2023 IEEE International Conference on Quantum Computing and Engineering (QCE) (Vol. 1, pp. 229-235). IEEE. | link | link |
Miroszewski, A., Mielczarek, J., Czelusta, G., Szczepanek, F., Grabowski, B., Le Saux, B., & Nalepa, J. (2023). Detecting clouds in multispectral satellite images using quantum-kernel support vector machines. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. | link | link |
Miroszewski, A., Mielczarek, J., Szczepanek, F., Czelusta, G., Grabowski, B., Le Saux, B., & Nalepa, J. (2023, July). Cloud Detection in Multispectral Satellite Images Using Support Vector Machines with Quantum Kernels. In IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 796-799). IEEE. | link | link |
Fan, F., Shi, Y., & Zhu, X. X. (2023, May). Urban land cover classification from Sentinel-2 images with quantum-classical network. In 2023 Joint Urban Remote Sensing Event (JURSE) (pp. 1-4). IEEE. | link | link |
Nammouchi, A., Kassler, A., & Theocharis, A. (2023). Quantum Machine Learning in Climate Change and Sustainability: A Short Review. In Proceedings of the AAAI Symposium Series (Vol. 2, No. 1, pp. 107-114). | link | link |
Otgonbaatar, S., & Kranzlmüller, D. (2023). Exploiting the Quantum Advantage for Satellite Image Processing: Review and Assessment. IEEE Transactions on Quantum Engineering. | link | link |
Otgonbaatar, S., Schwarz, G., Datcu, M., & Kranzlmüller, D. (2023). Quantum transfer learning for real-world, small, and high-dimensional remotely sensed datasets. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. | link | link |
Miller, L., Uehara, G., Sharma, A., & Spanias, A. (2023, June). Quantum Machine Learning for Optical and SAR Classification. In 2023 24th International Conference on Digital Signal Processing (DSP) (pp. 1-5). IEEE. | link | link |
APA | Original Link | arXiv or similar |
---|---|---|
Chang, S. Y., Le Saux, B., Vallecorsa, S., & Grossi, M. (2022, July). Quantum convolutional circuits for earth observation image classification. In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 4907-4910). IEEE. | link | link |
Fan, F., Shi, Y., & Zhu, X. X. (2022, July). Earth Observation Data Classification with Quantum-Classical Convolutional Neural Network. In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 191-194). IEEE. | link | link |
Otgonbaatar, S., Datcu, M., Zhu, X. X., & Kranzlmüller, D. (2022). Quantum Machine Learning for Real-World, Large Scale Datasets with Applications in Earth Observation. | link | link |
Pasetto, E., Delilbasic, A., Cavallaro, G., Willsch, M., Melgani, F., Riedel, M., & Michielsen, K. (2022, July). Quantum Support Vector Regression for Biophysical Variable Estimation in Remote Sensing. In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 4903-4906). IEEE. | link | link |
Shaik, R. U., & Periasamy, S. (2022). Accuracy and processing speed trade-offs in classical and quantum SVM classifier exploiting PRISMA hyperspectral imagery. International Journal of Remote Sensing, 43(15-16), 6176-6194. | link | link |
APA | Original Link | arXiv or similar |
---|---|---|
Zaidenberg, D. A., Sebastianelli, A., Spiller, D., Le Saux, B., & Ullo, S. L. (2021, July). Advantages and bottlenecks of quantum machine learning for remote sensing. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 5680-5683). IEEE. | link | link |
Sebastianelli, A., Zaidenberg, D. A., Spiller, D., Le Saux, B., & Ullo, S. L. (2021). On circuit-based hybrid quantum neural networks for remote sensing imagery classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 565-580. | link | link |
Otgonbaatar, S., & Datcu, M. (2021). Assembly of a coreset of earth observation images on a small quantum computer. Electronics, 10(20), 2482. | link | link |
APA | Original Link | arXiv or similar |
---|---|---|
Painchart, H., van Waveren, M., & Mora, B. QUANTUM ALGORITHM FOR THE ANALYSIS OF TEMPORAL SEQUENCES OF SATELLITE IMAGES. | link | link |
Matthijs van Waveren, C. S. On the use of a quantum convolutional neural network for remote sensing imagery classification. | link | link |
Defonte, V., van Waveren, M., Pasero, G., Savinaud, M., Gawron, P., Brunet, P. M., … & PAS, R. QUANTUM CONTRASTIVE LEARNING FOR SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES. | link | link |