A system for pattern recognition and pattern summarization in multi-band satellite images

被引:1
|
作者
H. Nair
机构
[1] C.T.R.F.,
关键词
Pattern recognition; image analysis; feature extraction; blackboard component; linguistic summary;
D O I
10.1134/S1054661808010069
中图分类号
学科分类号
摘要
A new system (C.T.R.F.’s LSGENSYS—Linguistic Summary Generation System) that has been developed for pattern recognition and summarization of patterns in multiband (RGB) satellite images is described in this paper. The system design is described in some detail. The system has been tested successfully with SPOT MS and LANDSAT images. It extracts, analyzes, and summarizes patterns such as land, island, water body, river, fire, and urban settlements from these images. The results are presented by allowing the system to automatically classify and interpret these images. Some elements of supervised classification are also introduced, and a comparison is made between the results in each case.
引用
收藏
页码:43 / 57
页数:14
相关论文
共 50 条
  • [21] Dynamical Pattern Vector in Pattern Recognition with the Use of Thermal Images
    Kus, Zygmunt
    2016 8TH INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2016), 2016, 56
  • [22] A recombination model for multi-band speech recognition
    Cerisara, C
    Haton, JP
    Mari, JF
    Fohr, D
    PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-6, 1998, : 717 - 720
  • [23] Multi-band speech recognition in noisy environments
    Okawa, S
    Bocchieri, E
    Potamianos, A
    PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-6, 1998, : 641 - 644
  • [24] A self-calibrating multi-band region growing approach to segmentation of single and multi-band images
    Paglieroni, DW
    OPTICAL ENGINEERING AT THE LAWRENCE LIVERMORE NATIONAL LABORATORY, 2003, 5001 : 65 - 75
  • [25] Multi-band PIFA Design for WLAN/Satellite Communication
    Row, J. S.
    Han, T. Y.
    Cheng, Y. T.
    Sim, C. Y. D.
    2010 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM, 2010,
  • [26] Pattern Detection and Recognition in SAR Images
    Gorovyi, Ievgen M.
    Sharapov, Dmytro S.
    2017 IEEE FIRST UKRAINE CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (UKRCON), 2017, : 123 - 126
  • [27] Multichannel pattern recognition of color images
    Yzuel, MJ
    Campos, J
    Moreno, I
    Ahouzi, E
    Attaleb, A
    FOURTH INTERNATIONAL CONFERENCE ON CORRELATION OPTICS, 1999, 3904 : 216 - 227
  • [28] STATISTICS, IMAGES, AND PATTERN-RECOGNITION
    RIPLEY, BD
    CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 1986, 14 (02): : 83 - 102
  • [29] SYNTHESIZED IMAGES FOR PATTERN-RECOGNITION
    MIYOJIM, M
    CHENG, HD
    PATTERN RECOGNITION, 1995, 28 (04) : 595 - 610
  • [30] Meteorological structures and pattern recognition: Modal analysis of shapes extracted from satellite images
    Dell'Acqua, F
    Gamba, P
    OPTICAL ENGINEERING, 2003, 42 (03) : 822 - 829