can you please help me to refine this abstract to make sure it is fitter a conference paper In summary our proposed novel weakly supervised learning model for urban road and flood detection can provid

Our proposed weakly supervised learning model for urban road and flood detection offers a novel approach to fast and accurate processing of satellite remote sensing data, with potential for significant impact in the field of automated urban disaster warning. We believe that this research direction holds great application prospects for processing remote sensing data using weakly supervised learning. Moving forward, we aim to further develop and promote the professional application of this model to meet the diverse needs of stakeholders seeking efficient processing of remote sensing data. Overall, our study contributes to advancing the state-of-the-art in remote sensing data analysis for urban disaster management