Intelligent Feature Extraction and Scoring Algorithm for Classification of Passive Sonar Target
نویسندگان
چکیده
منابع مشابه
Feature Extraction for SAR Target Classification
In this paper, radar target classification based on Synthetic Aperture Radar (SAR) images is investigated. Different criteria for extracting features from MSTAR data are presented, and classification rates shown, emphasizing where the useful information in terms of recognition resides. The combination of different features is also examined, linking the classification accuracy of the system to t...
متن کاملIntelligent Classification of Sonar Images
In many research areas, intelligent recognition and classification systems gained an important role. The reliability and the success of these systems are depend on the effectiveness of applied data preprocessing techniques and neural networks which can be used for efficient modeling of human’s visual system during the recognition or classification of patterns. Neural networks have an important ...
متن کاملSonar Target Classification with Sonar Fingerprint
To recognize underwater target precisely is always a hot potato to navies due to the complicated watery environment. It’s different from the aerial circumstance. There is much more interfere under the sea. Sonar is the most efficient way to detect underwater world at present time. In this paper, a geneticbased classifier system is designed which recognizes targets by sonar fingerprints. This me...
متن کاملFast target classification using sonar
This paper describes a new sonar system that can perform target localisation in two dimensions and classification into planes, concave corners and convex edges with no extra time overhead. That is, the sensor transmits on two transmitters a short time apart, thereby collecting echoes in virtually the same time as a single transmitter system. Moreover, the time separation of the transmitted puls...
متن کاملAn Improved Flower Pollination Algorithm with AdaBoost Algorithm for Feature Selection in Text Documents Classification
In recent years, production of text documents has seen an exponential growth, which is the reason why their proper classification seems necessary for better access. One of the main problems of classifying text documents is working in high-dimensional feature space. Feature Selection (FS) is one of the ways to reduce the number of text attributes. So, working with a great bulk of the feature spa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Korean Institute of Intelligent Systems
سال: 2009
ISSN: 1976-9172
DOI: 10.5391/jkiis.2009.19.5.629