Objects classification using neural network in sonar imagery

被引：2
|
作者：
Galerne, P
Yao, K
Burel, G
机构：
来源：
NEW IMAGE PROCESSING TECHNIQUES AND APPLICATIONS: ALGORITHMS, METHODS, AND COMPONENTS II | 1997年 / 3101卷
关键词：
sonar images; shape recognition; Fourier Descriptors; shadow profile; classifiers; neural networks;
D O I：
10.1117/12.281291
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An experimental comparison of pattern classification methods in the particular case of objects lying on the seafloor in sonar imagery is carried out. The object identification technique relies on the analysis of the object cast shadow. Different kinds of geometric features are extracted such as elongation and orientation of the shadow, Fourier Descriptors, and new parameters derived from the shadow profile. The performance is evaluated using two sets of data coming from synthetic sonar images differently noised. The comparison shows better performance of Multi-Layer Perceptron especially for poorly segmented images. Finaly, the performance of the system is investigated on real images.
引用
收藏
页码：306 / 314
页数：9
相关论文
共 50 条
  • [41] Classification of Citrus Crops using Satellite Multispectral Imagery and Deep Neural Network
    Camara-Guerra, Alvaro
    Artyounian-Vieyra, Cloe
    Gonzalez-Cuellar, Eder
    Trevino-Escamilla, Adriana
    Salazar-Garibay, Adan
    Hernandez-Gutierrez, Andres
    2024 16TH INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING, ICCAE 2024, 2024, : 351 - 356
  • [42] Hyperspectral Imagery Classification Using Sparse Representations of Convolutional Neural Network Features
    Liang, Heming
    Li, Qi
    REMOTE SENSING, 2016, 8 (02)
  • [43] Comparison of Motor Imagery EEG Classification using Feedforward and Convolutional Neural Network
    Majoros, Tamas
    Oniga, Stefan
    IEEE EUROCON 2021 - 19TH INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES, 2021, : 25 - 29
  • [44] Multi-Classification of Satellite Imagery Using Fully Convolutional Neural Network
    Tun, Nyan Linn
    Gavrilov, Alexander
    Tun, Naing Min
    2020 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, APPLICATIONS AND MANUFACTURING (ICIEAM), 2020,
  • [45] A Hybrid convolution neural network for the classification of tree species using hyperspectral imagery
    Wang, Jian
    Jiang, Yongchang
    PLOS ONE, 2024, 19 (05):
  • [46] Classification using a Radial Basis Function Neural Network on Side-Scan Sonar data
    Skinner, Dana
    Foo, Simon Y.
    2007 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, PROCEEDINGS, VOLS 1-8, 2007, : 1803 - 1806
  • [47] Sonar Data Classification Using Neural Network Trained by Hybrid Dragonfly and Chimp Optimization Algorithms
    Mousavipour, F.
    Mosavi, M. R.
    WIRELESS PERSONAL COMMUNICATIONS, 2023, 129 (01) : 191 - 208
  • [48] A New Convolutional Neural Network for Motor Imagery Classification
    Zhang, Ruilong
    Gong, Qun
    Zhao, Xinyi
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 8428 - 8432
  • [49] Sonar Data Classification Using Neural Network Trained by Hybrid Dragonfly and Chimp Optimization Algorithms
    F. Mousavipour
    M. R. Mosavi
    Wireless Personal Communications, 2023, 129 : 191 - 208
  • [50] Automatic recognition of the sonar signals using neural network
    Alim, OA
    Hashem, HF
    ICICS - PROCEEDINGS OF 1997 INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS AND SIGNAL PROCESSING, VOLS 1-3: THEME: TRENDS IN INFORMATION SYSTEMS ENGINEERING AND WIRELESS MULTIMEDIA COMMUNICATIONS, 1997, : 740 - 744
12345