一个新的环境适应的双光图像增强框架,用于海上石油泄漏检测
Yuqing Chen1, Shitong Zhou1, Wei Yu1
1Department of Automation, College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
Marine pollution bulletin
|November 13, 2024
概括
这项研究引入了一个自适应的双光图像增强框架,以改善海洋石油泄漏检测. 这种新的方法有效地消除了阳光的闪光,并增强了红外图像的对比度,从而提高了环境保护的检测精度.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 图像处理 图像处理
背景情况:
- 海洋石油泄漏构成了严重的环境危险.
- 由于可见光中的太阳闪光和红外图像中的热噪声,检测低对比度的油污泄漏是具有挑战性的.
研究的目的:
- 开发一个环境适应的双光图像增强框架,以改进海上石油泄漏检测.
- 解决可见和红外图像的局限性,以准确识别漏油.
主要方法:
- 一个改进的Criminisi阳光闪光 inpainting算法被用来从可见光图像中去除阳光闪光.
- 开发了一种新的高斯加重引导图像过 (DoGWGIF) 算法,以提高红外图像的对比度和清晰度,减轻热噪声和背景干扰.
主要成果:
- 该框架在增强海洋阳光闪区域和低对比度红外区域方面表现出有效性.
- 可见光图像的平均交叉点在整个欧盟 (MIoU) 的性能指数提高了1.64%,红外图像提高了0.54%.
结论:
- 拟议的双光图像增强框架显著提高了海上石油泄漏检测能力.
- 适应性方法提高了遥感的可靠性,用于对石油泄漏的环境监测.
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