A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolution

no code implementations • 16 Nov 2021 • Yue Shi, Liangxiu Han, Lianghao Han, Sheng Chang, Tongle Hu, Darren Dancey

To alleviate the problem of mode collapse, this work has proposed a novel GAN model coupled with a latent encoder (LE-GAN), which can map the generated spectral-spatial features from the image space to the latent space and produce a coupling component to regularise the generated samples.

Generative Adversarial Network Hyperspectral Image Super-Resolution +1

A Novel CropdocNet for Automated Potato Late Blight Disease Detection from the Unmanned Aerial Vehicle-based Hyperspectral Imagery

no code implementations • 28 Jul 2021 • Yue Shi, Liangxiu Han, Anthony Kleerekoper, Sheng Chang, Tongle Hu

Late blight disease is one of the most destructive diseases in potato crop, leading to serious yield losses globally.

BIG-bench Machine Learning Management