187 / 2023-08-31 22:44:56

Tunnel information understanding and recognition based on multi-scale, multi-channel and multi-granularity feature information fusion

multi-scale,multi-channel,multi-granularity,feature fusion,tunnel information understanding,tunnel information recognition

Tunnel information understanding and recognition is an important research field that involves accurate extraction and identification of key information in tunnel scenes. To improve the accuracy of tunnel information understanding and recognition, we have designed the methods of multi-scale, multi-channel, and multi-granularity feature fusion. Multi-scale feature fusion considers observed information at different scales to capture both details and overall characteristics of tunnel scenes, enhancing the representation capability of information. Multi-channel feature fusion integrates information from different sensors or data sources to provide a more comprehensive understanding and recognition of various tunnel features. Meanwhile, multi-granularity feature fusion focuses on feature extraction and combination at different granularity levels to obtain a more holistic representation of tunnel information. Through these fusion methods, the precision and robustness of tunnel information understanding and recognition can be effectively improved, providing strong support for tunnel construction, maintenance, and safety management, among other applications.