Salt Segment Identification in Seismic Images Using UNet with ResNet

Author:

Kiran P. Venkata Uday,Anuradha G.,Manohar L. Sai,Kirthan D.

Publisher

Springer Nature Singapore

Reference14 articles.

1. Alfarhan M, Deriche M, Maalej A (2022) Robust concurrent detection of salt domes and faults in seismic surveys using an improved UNet architecture. IEEE Access 10:39424–39435

2. Zhang H, Zhu P, Liao Z, Li Z (2022) SaltISCG: interactive salt segmentation method based on CNN and graph cut. IEEE Trans Geosci Remote Sens 60:1–14

3. Li Z, Sun N, Gao H, Qin N, Li Z (2021) Adaptive subtraction based on U-Net for removing seismic multiples. IEEE Trans Geosci Remote Sens 59(11):9796–9812

4. Minaee S, Boykov Y, Porikli F, Plaza A, Kehtarnavaz N, Terzopoulos D (2022) Image segmentation using deep learning: a survey. IEEE Trans Pattern Anal Mach Intell 44(7):3523–3542

5. ul Islam MS (2020) Using deep learning based methods to classify salt bodies in seismic images. J Appl Geophys 178:104054

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