statistiche ricercatore

Nome	#
Advanced Deep-Learning Methods For Automatic Change Detection and Classification of Multitemporal Remote-Sensing Images	134
Unsupervised change-detection based on convolutional-autoencoder feature extraction	126
Unsupervised change detection using hierarchical convolutional autoencoder	90
An explainable convolutional autoencoder model for unsupervised change detection	86
A novel deep-learning data structure for multispectral remote sensing images	71
Unsupervised Change Detection Using Convolutional-Autoencoder Multiresolution Features	69
PRISMA-Learn Project – Advanced Machine Learning Techniques for Data Fusion and Analysis of Images from the PRISMA Mission	54
Intelligenza artificiale e ortofoto per il censimento e la gestione delle aree pascolabili in ambiente alpino	47
An Unsupervised Change Detection Technique Based on a Super-Resolution Convolutional Autoencoder	43
A Dual-Branch Deep Learning Architecture for Multisensor and Multitemporal Remote Sensing Semantic Segmentation	34
Unsupervised change detection in multi-modal SAR images using CycleGAN	14
Change Detection in SAR Images Using Deep Learning Methods	13
Multiscale Hierarchical Losses to Preserve Hidden-Layer Features for Unsupervised Change Detection	12
Unsupervised Building Change Detection in Multi-Modal Sar Images Using Cyclegan	8
Dual-Task Framework For Change Detection In Remote Sensing Image Time Series	6
Totale	807

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2019/2020	26	0	0	0	0	0	4	8	6	4	2	0	2
2020/2021	81	0	4	5	15	20	3	1	17	1	9	0	6
2021/2022	118	2	3	0	2	6	31	9	18	4	11	19	13
2022/2023	196	11	21	3	19	31	27	0	27	37	0	14	6
2023/2024	157	7	6	12	8	19	24	3	18	1	5	36	18
2024/2025	220	8	25	44	66	15	62	0	0	0	0	0	0
Totale													807