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Risultati 11 - 20 di 384 (tempo di esecuzione: 0.081 secondi).

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A context-sensitive technique robust to registration noise for change detection in VHR multispectral images

2010-01-01 Marchesi, Silvia; Bovolo, Francesca; Bruzzone, Lorenzo

A Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data

2021-01-01 Harikumar, Aravind; Paris, Claudia; Bovolo, Francesca; Bruzzone, Lorenzo

A Deep Learning Architecture for Semantic Segmentation of Radar Sounder Data

2022-01-01 Donini, Elena; Bovolo, Francesca; Bruzzone, Lorenzo

A Deep Learning Framework for the Estimation of Forest Height from Bistatic TanDEM-X Data

2023-01-01 Carcereri, Daniel; Rizzoli, Paola; Ienco, Dino; Bruzzone, Lorenzo

A Deep Network Architecture for Super-Resolution-Aided Hyperspectral Image Classification with Classwise Loss

2018-01-01 Hao, Siyuan; Wang, Wei; Ye, Yuanxin; Li, Enyu; Bruzzone, Lorenzo

A Detail-Preserving Scale-Driven Approach to Unsupervised Change Detection in Multitemporal SAR Images

2005-01-01 Bovolo, Francesca; Bruzzone, Lorenzo

A Dictionary-Based Integrated Simulation Approach to Model Large- and Small-Scale Coherent Surface Scattering Phenomena in Radar Sounder Data

2023-01-01 Sbalchiero, Elisa; Cortellazzi, Marco; Thakur, Sanchari; Bruzzone, Lorenzo

A Dual-Branch Deep Learning Architecture for Multisensor and Multitemporal Remote Sensing Semantic Segmentation

2023-01-01 Bergamasco, Luca; Bovolo, Francesca; Bruzzone, Lorenzo

A Fast Cluster-Based Active Learning Technique for Classification of Remote Sensing Images

2011-01-01 Patra, Swarnajyoti; Bruzzone, Lorenzo

A Feature-Metric-Based Affinity Propagation Technique for Feature Selection in Hyperspectral Image Classification

2013-01-01 C., Yang; Liu, Sicong; Bruzzone, Lorenzo; R., Guan; P., Du

Titolo	Anno di pubblicazione	Autori Unitn
A context-sensitive technique robust to registration noise for change detection in VHR multispectral images	1-gen-2010	Marchesi, SilviaBovolo, FrancescaBruzzone, Lorenzo
A Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data	1-gen-2021	Harikumar, AravindParis, ClaudiaBovolo, FrancescaBruzzone, Lorenzo
A Deep Learning Architecture for Semantic Segmentation of Radar Sounder Data	1-gen-2022	Donini, ElenaBovolo, FrancescaBruzzone, Lorenzo
A Deep Learning Framework for the Estimation of Forest Height from Bistatic TanDEM-X Data	1-gen-2023	Carcereri, DanielRizzoli, PaolaIenco, DinoBruzzone, Lorenzo + -
A Deep Network Architecture for Super-Resolution-Aided Hyperspectral Image Classification with Classwise Loss	1-gen-2018	Hao, SiyuanWang, WeiYe, YuanxinLi, EnyuBruzzone, Lorenzo + -
A Detail-Preserving Scale-Driven Approach to Unsupervised Change Detection in Multitemporal SAR Images	1-gen-2005	Bovolo, FrancescaBruzzone, Lorenzo
A Dictionary-Based Integrated Simulation Approach to Model Large- and Small-Scale Coherent Surface Scattering Phenomena in Radar Sounder Data	1-gen-2023	Sbalchiero, ElisaCortellazzi, MarcoThakur, SanchariBruzzone, Lorenzo
A Dual-Branch Deep Learning Architecture for Multisensor and Multitemporal Remote Sensing Semantic Segmentation	1-gen-2023	Bergamasco, LucaBovolo, FrancescaBruzzone, Lorenzo
A Fast Cluster-Based Active Learning Technique for Classification of Remote Sensing Images	1-gen-2011	Patra, SwarnajyotiBruzzone, Lorenzo
A Feature-Metric-Based Affinity Propagation Technique for Feature Selection in Hyperspectral Image Classification	1-gen-2013	C. YangLiu, SicongBruzzone, LorenzoR. GuanP. Du + -

Risultati 11 - 20 di 384 (tempo di esecuzione: 0.081 secondi).

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A context-sensitive technique robust to registration noise for change detection in VHR multispectral images

A Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data

A Deep Learning Architecture for Semantic Segmentation of Radar Sounder Data

A Deep Learning Framework for the Estimation of Forest Height from Bistatic TanDEM-X Data

A Deep Network Architecture for Super-Resolution-Aided Hyperspectral Image Classification with Classwise Loss

A Detail-Preserving Scale-Driven Approach to Unsupervised Change Detection in Multitemporal SAR Images

A Dictionary-Based Integrated Simulation Approach to Model Large- and Small-Scale Coherent Surface Scattering Phenomena in Radar Sounder Data

A Dual-Branch Deep Learning Architecture for Multisensor and Multitemporal Remote Sensing Semantic Segmentation

A Fast Cluster-Based Active Learning Technique for Classification of Remote Sensing Images

A Feature-Metric-Based Affinity Propagation Technique for Feature Selection in Hyperspectral Image Classification

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