TH4.M3.1
PATCH-GAN TRANSFER LEARNING WITH RECONSTRUCTIVE MODELS FOR CLOUD REMOVAL
Wanli Ma, Oktay Karakus, Paul L. Rosin, Cardiff University, United Kingdom
Session:
TH4.M3: Leveraging Vision Transformers and Generative Models for Remote Sensing and Earth Observation II Oral
Track:
AI and Big Data
Location:
Mezzanine: Room M3
Presentation Time:
Thursday, 7 August, 15:45 - 16:00
Session Chair:
Danfeng Hong ,
Session TH4.M3
TH4.M3.1: PATCH-GAN TRANSFER LEARNING WITH RECONSTRUCTIVE MODELS FOR CLOUD REMOVAL
Wanli Ma, Oktay Karakus, Paul L. Rosin, Cardiff University, United Kingdom
TH4.M3.2: Adaptive Sparse Convolutional Networks with Differentiable Binarization for Infrared Small-target Detection
Shuanglin Wu, Chao Xiao, Jungang Yang, Wei An, National University of Defense Technology, China
TH4.M3.3: Improving EO-GPT: An LLM Orchestration Framework for Earth Observation Analysis
Brian Terry, Otto Wagner, Oguz Yetkin, Jeffrey Gordon, Joshua Baptist, Analytical Mechanics Associates, Inc., United States; David Borges, NASA Langley Research Center, United States; Sanjay Gowda, Analytical Mechanics Associates, Inc., United States
TH4.M3.4: DIGITAL ELEVATION MODEL ESTIMATION FROM RGB SATELLITE IMAGERY USING GENERATIVE DEEP LEARNING
Alif Ilham Madani, Riska A. Kuswati, Alex M. Lechner, Muhamad Risqi U. Saputra, Monash University Indonesia, Indonesia
TH4.M3.5: HIGH-RESOLUTION DAILY WILDFIRE MONITORING THROUGH GENERATIVE AI AND MULTI-TASK LEARNING
Eric Brune, Yifang Ban, KTH Royal Institute of Technology, Sweden
Resources