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<p>Rescue operations in war zones or disaster areas frequently encounter challenges due to complex and dynamic environments. Visual obstacles such as buildings, mountains, and forests, combined with inadequate lighting caused by damaged electrical infrastructure, significantly increase the difficulties of rescue missions. To overcome these visual limitations, this research employs thermal imaging and low-light amplification sensors to enhance visual capabilities in nighttime and low-light conditions. Thermal imaging generates images by detecting temperature differences, while low-light amplification sensors produce clear images by amplifying ambient light sources, thereby capturing detailed information in low-light environments. The innovative aspect of this research lies in its systematic analysis of nighttime dynamic imaging and its application of vector arrow diagram technology to effectively visualize the directionality and intensity of causal relationships, thereby providing more precise environmental information support for rescue operations.</p>

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Development and validation of the continuous region segmentation method for low-light rescue operations

  • 期刊论文

  • 发表日期：

    2025年12月10日

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  • Chao-Chung Peng,
  • Bo-Lin Jian,
  • Chun-Chia Chen,
  • Wen-Lin Chu

摘要

Rescue operations in war zones or disaster areas frequently encounter challenges due to complex and dynamic environments. Visual obstacles such as buildings, mountains, and forests, combined with inadequate lighting caused by damaged electrical infrastructure, significantly increase the difficulties of rescue missions. To overcome these visual limitations, this research employs thermal imaging and low-light amplification sensors to enhance visual capabilities in nighttime and low-light conditions. Thermal imaging generates images by detecting temperature differences, while low-light amplification sensors produce clear images by amplifying ambient light sources, thereby capturing detailed information in low-light environments. The innovative aspect of this research lies in its systematic analysis of nighttime dynamic imaging and its application of vector arrow diagram technology to effectively visualize the directionality and intensity of causal relationships, thereby providing more precise environmental information support for rescue operations.