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To enhance the accuracy of inversion imaging for detecting floor water hazards in mining faces, a detailed analysis was carried out on three geophysical methods: the single-tunnel sounding method, the double-tunnel penetration method, and a hybrid approach that integrates both techniques, referred to as comprehensive mine resistivity detection method. Building upon the comprehensive mine resistivity detection method, a novel cross-tunnel observation technique was introduced. This method incorporates cross- tunnel measurements into the resistivity imaging process, creating a comprehensive dataset that includes single-tunnel sounding method, double- tunnel penetration method, and cross-tunnel apparent resistivity data. This integrated approach significantly improves the extraction of full-potential matrix information. Numerical inversion results indicate that the incorporation of additional apparent resistivity data enhances the detection accuracy of concealed structural features beneath the coal seam floor. Furthermore, engineering applications confirm the method’s effectiveness, demonstrating its accuracy and reliability in detecting floor water hazards in coal mines.