Photoelectric Detection Technology Utilizing Communication Remote Sensing Image Data

Abstract

The photoelectric detection system stands as a crucial instrument for target identification and task execution within diverse environments. The system is frequently confronted with rapid task alterations in the context of communication remote sensing observations. Conventional detection systems encounter challenges in swiftly adapting, underscoring the pressing necessity for an intelligent photoelectric detection system capable of multifaceted tasks and rapid alignment with communication remote sensing settings. This study undertakes a technical exploration of the intelligent photoelectric detection system, delineating the coexistence of semi-intelligent and fully intelligent modes. While the semi-intelligent mode is selected for specific task scenarios, the fully intelligent mode seamlessly takes precedence in the absence of specific tasks. Upon task assignment, the detection mode is designated, automatically calibrating system parameters (operating bands, aperture, integration time, gain, and focal length) in alignment with task requisites. The architecture comprises a detection module capable of seamlessly transitioning between imaging and spectral dimensions, complemented by an autonomous data processing module crafted through DSP+FPGA+ARM technologies. Grounded in this technological foundation, the study designs and employs an intelligent photoelectric detection system to procure communication remote sensing image data, focusing on underwater acoustic signal analysis. The system’s configuration facilitates the creation of a communication remote sensing photoelectric detection mechanism specifically tailored for underwater acoustic signals. Rigorous experimentation involving laser communication in air and sound waves in water culminates in the successful acquisition of communication remote sensing image data. Experimental findings affirm the system’s efficiency in effectively detecting underwater acoustic signals.