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
Session:
TU4.R2: Hyperspectral Data Processing and Analysis: Hyperspectral Data Analysis Oral
Track:
Data Analysis
Location:
Mitropoulos
Presentation Time:
Tue, 9 Jul, 17:20 - 17:34
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.