On Automatic Target Recognition (ATR) using Inverse Synthetic Aperture Radar Images
- Title
- On Automatic Target Recognition (ATR) using Inverse Synthetic Aperture Radar Images
- Creator
- Sudarson Rama Perumal T.; Gaurav G.S.; Helen Josephine V.L.; Joshua Samuel Raj R.
- Description
- Inverse Synthetic Aperture Radar (ISAR) is used to image sea surface targets during day/night and all-weather capabilities for applications such as coastal surveillance, ship self-defense, suppression of drug trafficking etc. Hence automating classification of ships by means of machine learning methods has become more significant. Typical classification approaches consist of pre-processing, feature extraction and processing by classifiers. Image processing techniques are applied for pre-processing ISAR images. Transformation invariant features are then extracted to which classifiers such as SVM, Neural Networks (NNs) are applied. The performance of these algorithms depend on the manually chosen features and is trained to perform well for different target profiles. The target image (profile of target) varies depending on the target type, aspect angle and motion introduced due to different sea states. In addition, Deep learning methods are also being explored for classification of ships. The challenge is to classify ships for different sea conditions and image acquisition parameters with limited database and processing resource. 2023 IEEE.
- Source
- 6th International Conference on Inventive Computation Technologies, ICICT 2023 - Proceedings, pp. 953-956.
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Automatic Target Recognition; Deep learning; Feature extraction; Image Classification; ISAR Image Detection; Ship Classification
- Coverage
- Sudarson Rama Perumal T., Dept. of CSE, Rohini College of Engineering and Technology, TamilNadu, India; Gaurav G.S., Dept. of. ISE, CMR Institute of Technology, Bengaluru, India; Helen Josephine V.L., Business Analytics, School of Business and Management, Christ University, Bangalore, India; Joshua Samuel Raj R., Faculty of EDICT, Bahrain Polytechnic, Isa Town, Bahrain
- Rights
- Restricted Access
- Relation
- ISBN: 979-835039849-6
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Sudarson Rama Perumal T.; Gaurav G.S.; Helen Josephine V.L.; Joshua Samuel Raj R., “On Automatic Target Recognition (ATR) using Inverse Synthetic Aperture Radar Images,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/19927.