Contacts
FAQ
Home
Welcome Message
Invitation Video
Congress Promotion Video
Important Dates
Notable Deadlines
News & Media
Sponsors and Exhibitors
Contacts
Social Media
Policies
General
The Congress
Photo Highlights
Video Highlights
Organizing Committee
Organization
Professional Conference Organizer
Environmental, Social & Governance
Diversity, Equity & Inclusion
Program
Three Minute Thesis
Program at a Glance
Technical Program
Community-Contributed Sessions
Tutorials
Workshops
TIE Events
Young Professionals
Plenary Session / Opening Ceremony
Plenary Speakers
Social Events
Technical Visits
Proceedings
Venue Floorplan
Venue Plan
Destination
The City
The Venue
Accommodation
Travel & Stay
Social Life
Tours
Cultural Events
EXTREMA Global Mobile App
For Authors
Important Dates
Conference Themes
Manuscript Submission
Author Invitation Letter
Presentation Instructions
GRSS Travel Support
Student Paper Competition
Sponsors & Exhibitors
Become a Sponsor
Sponsorship & Exhibition Opportunities
Sponsors & Exhibitors
Exhibition Plan
Our Platinum Sponsor – ESA
Our Platinum Sponsor – EΥ
Media Sponsors
Registration
Registration
Visa Information
Volunteers
Family & Lactation Rooms
Terms and Conditions
Summer School
Program
Photo Highlights
Venue & Accommodation
Registration
Contact
Publicity
Interviews
Media Publicity
Social Hackathon
2024 IEEE International Geoscience and Remote Sensing Symposium
“Acting for Sustainability and Resilience”
7 - 12 July, 2024 • Athens, Greece
Previous
Next
Technical Program
Session TU4.R2
Paper TU4.R2.6
TU4.R2.6
Optimization of Calibration Methodology for Hyperspectral Sensors
Jason Zeibel, Andrew Hutchinson, US Army C5ISR Center, United States; Thomas Mitchell, Wavefront Research, Inc., United States
Session:
TU4.R2: Hyperspectral Data Processing and Analysis: Hyperspectral Data Analysis
Oral
Track:
Data Analysis
Location:
Mitropoulos
Presentation Time:
Tue, 9 Jul, 18:30 - 18:44
Session Chair:
Daniele Cerra, German Aerospace Center (DLR)
Presentation
Discussion
Resources
No resources available.
Session TU4.R2
TU4.R2.1: ONE-STREAM NEURAL NETWORK BASED ON MULTI-LEVEL FEATURES FUSION FOR HYPERSPECTRAL IMAGE CHANGE DETECTION
Jigang Ding, Xiaorun Li, Shuhan Chen, Zhejiang University, China
TU4.R2.2: HYPERSPECTRAL IMAGE-TEXT COUPLING NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Jiaqi Yang, Bo Du, Wuhan University, China
TU4.R2.3: LEVERAGING DEEP LEARNING FOR THE RECONSTRUCTION OF PLANT HYPERSPECTRAL DATA FROM RGB IMAGES
Serge Sarkis, Ibrahim Issa, Dany Abou Jaoude, Salma Talhouk, American University of Beirut, Lebanon
TU4.R2.4: REVEALING HIDDEN ART: AUTHENTICATING AND UNVEILING NEOLITHIC ROCK PAINTINGS THROUGH ADVANCED HYPERSPECTRAL IMAGING TECHNIQUES
Anna-Maria Raita-Hakola, Samuli Rahkonen, Ilkka Pölönen, University of Jyväskylä, Finland
TU4.R2.5: ANALYZING ARTIFICIAL NIGHTTIME LIGHTING USING HYPERSPECTRAL DATA FROM ENMAP
Leevi Lind, University of Jyväskylä, Finland; Daniele Cerra, Miguel Pato, German Aerospace Center (DLR), Germany; Ilkka Pölönen, University of Jyväskylä, Finland
TU4.R2.6: Optimization of Calibration Methodology for Hyperspectral Sensors
Jason Zeibel, Andrew Hutchinson, US Army C5ISR Center, United States; Thomas Mitchell, Wavefront Research, Inc., United States
Resources
No resources available.