Classification of Very High Resolution Aerial Photos Using Spectral-Spatial Convolutional Neural Networks
Classification of aerial photographs relying purely on spectral content is a challenging topic in remote sensing. A convolutional neural network (CNN) was developed to classify aerial photographs into seven land cover classes such as building, grassland, dense vegetation, waterbody, barren land, roa...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2018-01-01
|
| Series: | Journal of Sensors |
| Online Access: | http://dx.doi.org/10.1155/2018/7195432 |