FR4.M2.4
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:
Mezzanine: Room M2
Presentation Time:
Friday, 8 August, 16:30 - 16:45
Session Co-Chairs:
Silvia Ullo, Università degli studi del Sannio and Mousmi Ajay Chaurasia, Koneru Lakshmaiah Education Foundation, Hyderabad and Alejandro Frery, Victoria University of Wellington
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: 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)
FR4.M2.5: HSDSSM: A HYBRID SPECTRAL DENOISING STATE-SPACE MODEL FOR HYPERSPECTRAL IMAGES
Tolga Ozdemir, Erkut Erdem, Orhan Torun, Seniha Esen Yuksel, Hacettepe University, Turkey; Aykut Erdem, Koç University, Turkey
Resources