ESeismic-GAN: A Generative Model for Seismic Events From Cotopaxi Volcano
With the growing ability to collect large volumes of volcano seismic data, the detection and labeling process of these records is increasingly challenging. Clearly, analyzing all available data through manual inspection is no longer a viable option. Supervised machine learning models might be consid...
Main Authors: | Felipe Grijalva, Washington Ramos, Noel Perez, Diego Benitez, Roman Lara, Mario Ruiz |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9477001/ |
Similar Items
-
Generating Adversarial Examples in One Shot With Image-to-Image Translation GAN
by: Weijia Zhang
Published: (2019-01-01) -
Method for Image Adversarial Samples Generating Based on GAN
by: WANG Shuyan, JIN Hang, SUN Jiaze
Published: (2021-04-01) -
Extended Spatially Localized Perturbation GAN (eSLP-GAN) for Robust Adversarial Camouflage Patches
by: Yongsu Kim, et al.
Published: (2021-08-01) -
Urbanisation processes in zones threatened by volcanic activity: The case of Latacunga at the foot of Cotopaxi in Ecuador
by: Czerny Mirosława, et al.
Published: (2020-10-01) -
Pseudo Conditional Regularization for Inverse Mapping of GANs
by: Sang-Heon Shim, et al.
Published: (2020-01-01)