FR4.M2.5
ENHANCING SHIP DETECTION IN FOGGY MARITIME ENVIRONMENTS: FOG DATA SYNTHESIS VS. DEFOGGING
Jeonghyo Oh, Youngon Oh, Seunghyun Kim, Impyeong Lee, University of Seoul, Korea (South)
Session:
FR4.M2: ML and AI-Based Noise Reduction and Image Enhancement II Oral
Track:
Community-Contributed Sessions
Location:
Room M2
Presentation Time:
Friday, 8 August, 16:45 - 17:00
Session Co-Chairs:
Silvia Ullo, Università degli studi del Sannio and MOUSMI AJAY CHAURASIA,
Presentation
Discussion
Resources
No resources available.
Session FR4.M2
FR4.M2.1: Statistical Analysis of Performance Metrics for Cloud Removal
Hui Zhang, Weiyao Ma, Inner Mongolia University, China; Alejandro C. Frery, Victoria University of Wellington, New Zealand
FR4.M2.2: QUALITY ASSESSMENT OF DESPECKLING FILTERS BASED ON RATIO IMAGES AND VISIBILITY GRAPHS
Rubén Darío Vásquez-Salazar, Politécnico Colombiano Jaime Isaza Cadavid, Colombia; Ahmed Alejandro Cardona-Mesa, Institución Universitaria Digital de Antioquia, Colombia; Alejandro C. Frery, Victoria University of Wellington, New Zealand; Luis Gómez, Universidad de Las Palmas de Gran Canaria, Spain
FR4.M2.3: INVESTIGATING THE POTENTIAL OF SUPER-RESOLUTION FOR ROAD SEGMENTATION IN SENTINEL-2 IMAGES
Sandeep Kumar Jangir, Corentin Henry, Nina Merkle, German Aerospace Center, Germany
FR4.M2.4: PHYSICS-INSPIRED DIFFUSION MODEL FOR SAR IMAGE DESPECKLING
Danwei Lu, Tsinghua University, China; Yuanyuan Wang, Qi Zhang, Technical University of Munich, Germany; Junjun Yin, University of Science and Technology Beijing, China; Xiaoxiang Zhu, Technical University of Munich, Germany; Jian Yang, Tsinghua University, China
FR4.M2.5: ENHANCING SHIP DETECTION IN FOGGY MARITIME ENVIRONMENTS: FOG DATA SYNTHESIS VS. DEFOGGING
Jeonghyo Oh, Youngon Oh, Seunghyun Kim, Impyeong Lee, University of Seoul, Korea (South)
Resources
No resources available.