Abstract: Hyperspectral imaging is becoming relevant in many applications. A large number of bands can be used to distinguish between different materials, quality inspection and mineral exploration.

Abstract: Three-dimensional inversion of magnetic data can obtain the distribution of subsurface magnetic targets. Deep learning is an effective way to achieve 3-D inversion, which trains a neural ...

Plant trait variation drives plant function, community composition and ecosystem processes. However, our current understanding of trait variation disproportionately relies on aboveground observations.

Precise detection of PD is important in its early stages. Precise result can be achieved through data mining, classification techniques such as Naive Bayes, support vector machine (SVM), multilayer ...