Suchergebnisse - 3-D convolutional autoencoder (3DCAE)

A Spectral-Spatial Change Detection Method Based on Simplified 3-D Convolutional Autoencoder for Multitemporal Hyperspectral Images von Zhao, Chunhui, Cheng, Hao, Feng, Shou

“… Therefore, this letter proposes a hyperspectral change detection method based on a simplified 3-D convolutional autoencoder (S3DCAECD …”
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SLCRF: Subspace Learning With Conditional Random Field for Hyperspectral Image Classification von Cao, Yun, Mei, Jie, Wang, Yuebin, Zhang, Liqiang, Peng, Junhuan, Zhang, Bing, Li, Lihua, Zheng, Yibo

“… Subspace learning (SL) plays an essential role in hyperspectral image (HSI) classification since it can provide an effective solution to reduce the redundant …”
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