GAN-GL: Generative Adversarial Networks for Glacial Lake Mapping
Remote sensing is a powerful tool that provides flexibility and scalability for monitoring and investigating glacial lakes in High Mountain Asia (HMA). However, existing methods for mapping glacial lakes are designed based on a combination of several spectral features and ancillary data (such as the...
Guardado en:
Autores principales: | Hang Zhao, Meimei Zhang, Fang Chen |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/5f3d2c8a47ec425d932c6643a15b1936 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
TROPHIC STATUS OF TWO GLACIAL LAKES, WEST AND EAST OKOBOJI, IN NORTHWEST IOWA. U.S.A.
por: Campos Ortega,Humberto
Publicado: (2007) -
Adversarial Attack for SAR Target Recognition Based on UNet-Generative Adversarial Network
por: Chuan Du, et al.
Publicado: (2021) -
Evolution of ice-dammed proglacial lakes in Última Esperanza, Chile: implications from the late-glacial R1 eruption of Reclús volcano, Andean Austral Volcanic Zone
por: Stern,Charles R, et al.
Publicado: (2011) -
Road Surface Crack Detection Method Based on Conditional Generative Adversarial Networks
por: Anastasiia Kyslytsyna, et al.
Publicado: (2021) -
Glacial Lake Area Change and Potential Outburst Flood Hazard Assessment in the Bhutan Himalaya
por: Sonam Rinzin, et al.
Publicado: (2021)