605 results on '"Lorenzo Bruzzone"'
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2. Country-Scale Mapping of Forest Parameters Using Deep Learning and Tandem-X Insar Data.
3. A Spectrally Regulated Convolution-Based Network for Crop-Mapping with Hyperspectral Images.
4. Bayesian Modelling of Multi-Year Crop Type Classification Using Deep Neural Networks and Hidden Markov Models.
5. Exploring the Detection of Bark Beetle Attacks in Norway Spruce Forests in Sentinel-1 Image Time Series.
6. Detecting Near-Surface Melt-Water and Basal Ice-Water Interfaces by VHF Radar Sounder Data.
7. A Transformer-Enhanced Encoder-Decoder Network For Unsupervised Heterogeneous Remote Sensing Image Change Detection.
8. Analysis of the Detectability of Lava Flow Formations on Venus by Subsurface Radar Sounding Simulations.
9. Multiscale Hierarchical Losses to Preserve Hidden-Layer Features for Unsupervised Change Detection.
10. MixCDNet: A Lightweight Change Detection Network Mixing Features Across CNN and Transformer.
11. Multiobjective Optimization of Radar Acquisition Parameters in Flyby Scenarios of Planetary Missions.
12. Multiannual Change Detection in Long and Dense Satellite Image Time Series Based on Dynamic Time Warping.
13. European AI and EO convergence via a novel community-driven framework for data-intensive innovation.
14. Extended Semantic Edge-Aware Filtering Profile for Hyperspectral Image Classification.
15. A Method for the Characterization of the Interior of Pits From Single Spaceborne SAR Images.
16. Multiannual Change Detection Using a Weakly Supervised 3-D CNN in HR SITS.
17. Design and Verification of a Low-Cost Multispectral Camera for Precision Agriculture Application.
18. Content-Guided Spatial-Spectral Integration Network for Change Detection in HR Remote Sensing Images.
19. Hybrid FusionNet: A Hybrid Feature Fusion Framework for Multisource High-Resolution Remote Sensing Image Classification.
20. Unsupervised CD in Satellite Image Time Series by Contrastive Learning and Feature Tracking.
21. Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Images.
22. Beyond Pixel-Level Annotation: Exploring Self-Supervised Learning for Change Detection With Image-Level Supervision.
23. Super-Resolution of Radargrams With a Generative Deep Learning Model.
24. DRFormer: Learning Disentangled Representation for Pan-Sharpening via Mutual Information- Based Transformer.
25. MarsMapNet: A Novel Superpixel-Guided Multiview Feature Fusion Network for Efficient Martian Landform Mapping.
26. Joint Spatio-Temporal Modeling for Semantic Change Detection in Remote Sensing Images.
27. A Novel Approach to Incomplete Multimodal Learning for Remote Sensing Data Fusion.
28. Local-to-Global Cross-Modal Attention-Aware Fusion for HSI-X Semantic Segmentation.
29. ExtremeEarth: Managing Water Availability for Crops Using Earth Observation and Machine Learning.
30. Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation.
31. Toward Open-World Semantic Segmentation of Remote Sensing Images.
32. Potential of Deep Learning for Forest Height Estimation from Tandem-X Bistatic Insar Data.
33. Advances in The Characterization of Caves From Spaceborne X-Band VHR Sar Images.
34. Bi-Directional Temporal Modelling for Semantic Change Detection in Remote Sensing Images.
35. Refining Land-Cover Weak Labels Using a Discrete Wavelet Transform Inspired Deep Adversarial Model.
36. Deep Learning for Unsupervised Denoising of Radar Sounder Data.
37. A Multi-Feature Hyper-Temporal Change Vector Analysis Method for Change Detection in Multi-Annual Time Series of HR Satellite Images.
38. An Attention-Enhanced Feature Fusion Network (AeF2N) for Hyperspectral Image Classification.
39. SFFGL: A Semantic Feature Fused Global Learning Framework for Multiclass Change Detection in Hyperspectral Images.
40. WIANet: A Wavelet-Inspired Attention-Based Convolution Neural Network for Land Cover Classification.
41. Active Learning for Hyperspectral Image Classification Using Kernel Sparse Representation Classifiers.
42. A Deep Learning Framework for the Estimation of Forest Height From Bistatic TanDEM-X Data.
43. Automated Machine Learning Driven Stacked Ensemble Modeling for Forest Aboveground Biomass Prediction Using Multitemporal Sentinel-2 Data.
44. A Dual-Branch Deep Learning Architecture for Multisensor and Multitemporal Remote Sensing Semantic Segmentation.
45. Multiyear Mapping of Water Demand at Crop Level: An End-to-End Workflow Based on High-Resolution Crop Type Maps and Meteorological Data.
46. Lightweight Attention Network for Very High-Resolution Image Semantic Segmentation.
47. Spatial-Spectral Dual Back-Projection Network for Pansharpening.
48. A Dictionary-Based Integrated Simulation Approach to Model Large- and Small-Scale Coherent Surface Scattering Phenomena in Radar Sounder Data.
49. A Lightweight Transformer Network for Hyperspectral Image Classification.
50. A Novel Method for Hidden Natural Caves Characterization and Accessibility Assessment From Spaceborne VHR SAR Images.
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