HIGHLIGHTS
- who: Remote Sensing Scene Classification and collaborators from the (UNIVERSITY) have published the research: Remote Sensing Scene Classification Via Multigranularity Alternating Feature Mining, in the Journal: (JOURNAL)
- what: Improving the ability of feature representation is the key to classification performance, and also the research goal of this article. Combining RCM and the alternate comprehensive training strategy, the authors propose a multigranularity alternating feature mining (MGA-FM) framework to improve the HRRS scene classification performance, which can promote the network to obtain a more comprehensive feature representation, including local detailed information learning, and cross-granularity feature . . .
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.