Tile-Based Semisupervised Classification of Large-Scale VHR Remote Sensing Images
This paper deals with the problem of the classification of large-scale very high-resolution (VHR) remote sensing (RS) images in a semisupervised scenario, where we have a limited training set (less than ten training samples per class). Typical pixel-based classification methods are unfeasible for la...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2018-01-01
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| Series: | Journal of Sensors |
| Online Access: | http://dx.doi.org/10.1155/2018/6257810 |