Dottorato in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 32o ciclo (2016-2019)
Dottorato concluso nel 2020
Tesi:
Advancements in Multi-temporal Remote Sensing Data Analysis Techniques for Precision Agriculture (Abstract)
Tutori:
Marcello Chiaberge
Presentazione della ricerca:
PosterProfilo
Argomento di ricerca
Advancments in Remote Sensing Applciations in Precision Agriculture
Interessi di ricerca
Pubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Mazzia, Vittorio; Khaliq, Aleem; Salvetti, Francesco; Chiaberge, Marcello (2020)
Real-Time Apple Detection System using Embedded Systems with Hardware Accelerators: an Edge AI Application. In: IEEE ACCESS, vol. 8, pp. 9102-9114. ISSN 2169-3536
Contributo su Rivista - Zoto, Jurgen; Musci, MARIA ANGELA; Khaliq, Aleem; Aicardi, Irene; Chiaberge, Marcello (2020)
Automatic Path Planning for Unmanned Ground Vehicle Using UAV Imagery. In: 29th International Conference on Robotics in Alpe-Adria Danube Region, Poitiers, France, June 2020, pp. 223-230. ISSN 2194-5365. ISBN: 9783030196486
Contributo in Atti di Convegno (Proceeding) - Mazzia, Vittorio; Comba, Lorenzo; Khaliq, Aleem; Chiaberge, Marcello; Gay, Paolo (2020)
UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture. In: SENSORS, vol. 20. ISSN 1424-8220
Contributo su Rivista - Khaliq, Aleem (2020)
Advancements in Multi-temporal Remote Sensing Data Analysis Techniques for Precision Agriculture. relatore: CHIABERGE, MARCELLO; , 32. XXXII Ciclo, P.: 141
Doctoral Thesis - Khaliq, Aleem; Mazzia, Vittorio; Chiaberge, Marcello (2019)
Refining satellite imagery by using UAV imagery for vineyard environment: A CNN Based approach. In: 2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), pp. 25-29. ISBN: 978-1-7281-3611-0
Contributo in Atti di Convegno (Proceeding) - Mazzia, Vittorio; Khaliq, Aleem; Chiaberge, Marcello (2019)
Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN). In: APPLIED SCIENCES, vol. 10, pp. 238-260. ISSN 2076-3417
Contributo su Rivista - Khaliq, Aleem; Comba, Lorenzo; Biglia, Alessandro; Ricauda Aimonino, Davide; Chiaberge, ... (2019)
Comparison of Satellite and UAV-Based Multispectral Imagery for Vineyard Variability Assessment. In: REMOTE SENSING, vol. 11. ISSN 2072-4292
Contributo su Rivista - Khaliq, A.; Musci, M. A.; Chiaberge, M. (2018)
Understanding effects of atmospheric variables on spectral vegetation indices derived from satellite based time series of multispectral images. In: 2018 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018, USA, 2018, pp. 1-4. ISBN: 978-1-5386-9306-3
Contributo in Atti di Convegno (Proceeding) - Khaliq, A.; Musci, M. A.; Chiaberge, M. (2018)
Analyzing relationship between maize height and spectral indices derived from remotely sensed multispectral imagery. In: 2018 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018, USA, 2018, pp. 1-5. ISBN: 978-1-5386-9306-3
Contributo in Atti di Convegno (Proceeding) - Khaliq, Aleem; Peroni, Leonardo; Chiaberge, Marcello (2018)
Land cover and crop classification using multitemporal sentinel-2 images based on crops phenological cycle. In: 2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS), pp. 1-5. ISBN: 978-1-5386-6405-6
Contributo in Atti di Convegno (Proceeding)