We propose a novel and computationally inexpensive imaging condition for reverse time migration (RTM), referred to as convex imaging condition. The convex imaging condition has the merit of removing two types of RTM imaging noise discovered before, i.e., the notorious low frequency noise and the primary false image, meanwhile maintaining the capability to image steeply dipping or even vertical structures. To the best of our knowledge, this advanced and important feature is not achieved by any method before, including the Hilbert transform method proposed by Faqi Liu et al. and the de-primary method (and equivalent approaches) proposed by Tong W Fei et al. and Peng Shen et al.
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机译：我们提出了一种用于反向时间迁移（RTM）的新颖和计算廉价的成像条件，称为凸形成像条件。凸成像条件具有去除之前发现的两种类型的RTM成像噪声的优点，即臭名昭着的低频噪声和主要假图像，同时将能力保持陡峭浸渍甚至垂直结构。据我们所知，这种先进和重要的特征不是通过之前的任何方法实现的，包括Faqi Liu等人提出的Hilbert变换方法。和Tong W Fei等人提出的De-Primary方法（和等同方法）。和彭尚等。
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