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 . . .
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