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- Title
Classification of Aircraft in Remote Sensing Images Based on Deep Convolutional Neural Networks.
- Authors
Youssef, Youssef Ben; Merrouchi, Mohamed; Abdelmounime, Elhassane; Gadi, Toufiq
- Abstract
Convolutional Neural Network (CNN) is a component of Deep Learning(DL) recently exploited in different fields. In this work, we improve the performance of multi-label classification based on CNN for remote sensing images of aircraft types. Intensive preprocessing limits the classification rate in previous studies. In order to avoid under-fitting and over-fitting problems, we optimized the architecture and Network parameters. To validate our method the recent public image dataset called Multi-Type Aircraft Remote Sensing Images (MTARSI) is used. Extensive experiments prove the effectiveness of the proposed method in terms of classification rate.
- Subjects
CONVOLUTIONAL neural networks; REMOTE sensing; DEEP learning; COMPUTER vision; CLASSIFICATION
- Publication
Statistics, Optimization & Information Computing, 2022, Vol 10, Issue 1, p4
- ISSN
2311-004X
- Publication type
Article
- DOI
10.19139/soic-2310-5070-1143