HIGHLIGHTS
- who: Based on ROI and colleagues from the Computation, Joint International Research Laboratory of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xian, China have published the research: High-Resolution SAR Change Detection Based on ROI and SPP Net, in the Journal: (JOURNAL)
- what: In this paper a multivariate change detection framework non-subsampled contourlet transform (NSCT) deep belief networks (DBN) fuzzy c-means (FCM) clustering and global-local spatial pyramid pooling (SPP) is proposed. The authors propose a multivariate change detection framework, in which NSCT , DBN , FCM clustering , , global-local SPP net . . .
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.