HIGHLIGHTS
- who: -Few samples and collaborators from the IVE XPERIMENTS RESULTS AND ANALYSIS This section conducts different experiments on four HSI classified datasets (Pavia University, Kennedy Space Center (KSC), Indian Pines, Salinas) to verify the effectiveness of the proposed method. A. Datasets have published the article: Hyperspectral Image Classification Based on Unsupervised Regularization, in the Journal: (JOURNAL)
- what: The main work of this paper is embodied in the following three aspects: 1) A shared feature extraction module (SFEM) is designed based on the kullback-leibler (KL) sparse stack autoencoder structure, which is used to extract both . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.