Improving Deep Forest via Patch-Based Pooling, Morphological Profiling, and Pseudo Labeling for Remote Sensing Image Classification
Deep forest (DF), an alternative to neural networks (NNs)-based deep learning (DL), has gained increasing attentions in recent years. Despite its remarkable advantages, the original multigrained cascade forest (gcForest) is limited by the high time cost and memory requirement. To overcome this limit...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9531400/ |