多光谱成像技术在火灾痕迹物证提取中的应用研究

Key Points

• The aim is to enhance the accuracy and efficiency of fire trace evidence extraction using multispectral imaging technology.
• Systematic review of multispectral imaging principles and classifications
• Analysis of spectral characteristics related to fire evidence
• Extraction of texture features
• Development of machine learning models for evidence extraction
• Experimental validation of the proposed framework
• Significant improvement in evidence extraction accuracy
• Enhanced efficiency in processing complex fire scenes
• Provides a scientific basis for fire investigation