Analysis of MSTAR Object Classification Features Extracted by a Deep Convolutional Neural Network
Introduction. Deep convolutional neural networks are effective tools for classifying objects on radar images; however, their decision-making process is not transparent. This makes the determination of classification features of objects that affect the entire network operation a relevant research tas...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
Saint Petersburg Electrotechnical University "LETI"
2025-05-01
|
| Series: | Известия высших учебных заведений России: Радиоэлектроника |
| Subjects: | |
| Online Access: | https://re.eltech.ru/jour/article/view/994 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|