TH3.R8.5
INTRODUCING A GROUND-TRUTHED MULTI-RESOLUTION DRONE-BASED HYPERSPECTRAL DATASET FOR UNMIXING TASKS
Anna Hampton, University of Florida, United States; Koushikey Chhapariya, Indian Institute of Technology, Bombay, India; Yuki Itoh, University of Massachusetts, Amherst, United States; Alina Zare, University of Florida, United States; Mario Parente, University of Massachusetts, Amherst, United States
Session:
TH3.R8: ROCX 2025: Data Collections, Ground Experiments, and Early Results I Oral
Track:
Community Contributed Themes
Location:
Embassy
Presentation Time:
Thursday, 13 August, 14:45 - 15:00
Presentation
Discussion
Resources
No resources available.
Session TH3.R8
TH3.R8.1: OVERVIEW OF THE ROCX 2025 OPEN COMMUNITY REMOTE SENSING DATA COLLECTION
John Kerekes, Nina Raqueno, Rochester Institute of Technology, United States
TH3.R8.2: HEAD-TO-HEAD UAV HYPERSPECTRAL INTERCOMPARISON UNDER IDENTICAL CONDITIONS: RADIOMETRIC, SPECTRAL, GEOMETRIC AND VNIR–ESWIR CO-ALIGNMENT PERFORMANCE
Trond Løke, Agnieszka Kuras, Janette Wilson, Jeffrey Finkelstein, Norsk Elektro Optikk AS, Norway
TH3.R8.3: OVERVIEW AND COMPARISONS OF IMAGING SPECTROMETERS USED AT ROCX 2025
Tom Chrien, Matter Intelligence, Inc., United States
TH3.R8.4: DIGITAL TWINS OF AIRBORNE HYPERSPECTRAL SENSORS DEPLOYED DURING THE ROCX 2025 EXPERIMENT
Cécile Darviot, Ludovic Girard, Defence Research and Development Canada, Canada
TH3.R8.5: INTRODUCING A GROUND-TRUTHED MULTI-RESOLUTION DRONE-BASED HYPERSPECTRAL DATASET FOR UNMIXING TASKS
Anna Hampton, University of Florida, United States; Koushikey Chhapariya, Indian Institute of Technology, Bombay, India; Yuki Itoh, University of Massachusetts, Amherst, United States; Alina Zare, University of Florida, United States; Mario Parente, University of Massachusetts, Amherst, United States
TH3.R8.6: TOWARD UAV-BASED HYPERSPECTRAL DETECTION OF SURFACE PFM-1 MINES: INSIGHTS FROM THE ROCX 2025 CAMPAIGN
Sagar Lekhak, Emmett J. Ientilucci, Rochester Institute of Technology, United States
Resources
No resources available.