Cross-Modal Retrieval on RSITMD

Cross-Modal Retrieval on RSITMD is a cross-modal retrieval technique that focuses on extracting and matching multimodal information from remote sensing images and text data. This technology aims to achieve efficient and accurate mutual retrieval between images and text by integrating visual features and semantic descriptions, thereby enhancing the comprehensive capabilities of information retrieval. Based on computer vision, Cross-Modal Retrieval on RSITMD has broad application value in areas such as environmental monitoring, disaster assessment, and urban planning, effectively supporting decision-making and scientific research.