AI RESEARCH
A PPO-Based Bitrate Allocation Conditional Diffusion Model for Remote Sensing Image Compression
arXiv CS.CV
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ArXi:2603.15365v1 Announce Type: new Existing remote sensing image compression methods still explore to balance high compression efficiency with the preservation of fine details and task-relevant information. Meanwhile, high-resolution drone imagery offers valuable structural details for urban monitoring and disaster assessment, but large-area datasets can easily reach hundreds of gigabytes, creating significant challenges for storage and long-term management. In this paper, we propose a PPO-based bitrate allocation Conditional Diffusion Compression (PCDC) framework.