3d-cnn and autoencoder based gas detection in hyperspectral images

HIGHLIGHTS

• who: - Gas Detection and colleagues from the (UNIVERSITY) have published the Article: 3D-CNN and Autoencoder Based Gas Detection in Hyperspectral Images, in the Journal: (JOURNAL)
• what: Observing that the existing methods in thermal range neglect the fact that the captured radiance in longwave infrared (LWIR) spectrum is better modelled as a mixture of the radiance of background and target gases the authors propose a deep learning based method in this paper which combines and classification. In the study presented by Henrot et_al , they demonstrated the performance of the hyperspectral unmixing-based model using the . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.