Graph convolutional network method for small sample classification of hyperspectral images
Existing based on convolutional neural network classification method of hyperspectral images usually rules of the square area of image convolution, not widely adapt to different terrain local area distribution and geometry appearance of the image, therefore, under the condition of small sample class...
Guardado en:
Autores principales: | ZUO Xibing, LIU Bing, YU Xuchu, ZHANG Pengqiang, GAO Kuiliang, ZHU Enze |
---|---|
Formato: | article |
Lenguaje: | ZH |
Publicado: |
Surveying and Mapping Press
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/79798da31a874e69a512c08e42292b43 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Spectral-Spatial Offset Graph Convolutional Networks for Hyperspectral Image Classification
por: Minghua Zhang, et al.
Publicado: (2021) -
Earth like you've never seen it before: PRISMA reveals the state of our planet's health
por: Giuseppina Piccirilli
Publicado: (2019) -
Secular variation of gravity anomalies within the Tibetan Plateau derived from GRACE data
por: LIU Jie
Publicado: (2021) -
Application of radial basis function in gravity field modeling and data fusion
por: MA Zhiwei
Publicado: (2021) -
Development of surface roughness and soil moisture retrieval algorithm using passive microwave remote sensing data
por: WANG Shu
Publicado: (2021)