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Abstract To address the requirements for multi-target spectral imaging detection, this paper proposes an intelligent target spectral detection method based on field-of-view gating. In this method, the target scene is projected onto the surface of a digital micromirror device (DMD) through an imaging lens. By utilizing the high-speed switching characteristics of the DMD and controlling the deflection angle of each micromirror, the incident beams within the full field-of-view are directed toward the imaging detection channel. On this basis, the YOLOv5 intelligent target detection algorithm is employed to detect and locate vehicle targets and output their coordinates. Subsequently, the DMD is driven to flip the orientation of the corresponding micromirror array within the field-of-view, directing the light beam toward the spectral detection channel to accomplish spectral measurements of the selected area, thereby achieving the spectral detection of the target. In this paper, a prototype is developed and integrated, and spectral calibration is performed. Experimental results demonstrate that the prototype achieves an image resolution of 700×700 pixels, a spectral detection range of 450 nm to 480 nm, a spectral resolution of 3.1 nm, and a frame rate of 20 Hz. In real traffic scenarios, the vehicle target detection accuracy reaches 95.6%, which validates the effectiveness of the proposed field-of-view gating method for intelligent target spectral detection.
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Received: 02 December 2025
Published: 04 August 2026
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2026, Vol. 9 
