most citedDML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval

26 citations · 37 across the 2 of their papers we have counts for

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cs.CV2020★ 26 cited

DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval

Yun Cao, Yuebin Wang, Junhuan Peng +4

With a small number of labeled samples for training, it can save considerable manpower and material resources, especially when the amount of high spatial resolution remote sensing…

cs.CV2020★ 11 cited

SLCRF: Subspace Learning with Conditional Random Field for Hyperspectral Image Classification

Yun Cao, Jie Mei, Yuebin Wang +5

Subspace learning (SL) plays an important role in hyperspectral image (HSI) classification, since it can provide an effective solution to reduce the redundant information in the im…