Spectral–Spatial Exploration for Hyperspectral Image Classification via the Fusion of Fully Convolutional Networks
Due to its remarkable feature representation capability and high performance, convolutional neural networks (CNN) have emerged as a popular choice for hyperspectral image (HSI) analysis. However, the performances of traditional CNN-based patch-wise classification methods are limited by insufficient...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8984214/ |