Use textural features for decoding of forest regions by SAR images

被引:0
|
作者
Komarov, SA [1 ]
Lukyanenko, DN [1 ]
Yevtyushkin, AV [1 ]
机构
[1] Altai State Univ, Barnaul 656099, Russia
关键词
SAR; artificial neural networks; statistical textural features; automatic classification;
D O I
10.1117/12.370493
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This paper represents development of techniques for classification of forest regions using radar images. SIR-C/L-SAR data were used. The application of textural features and artificial neural networks was considered.
引用
收藏
页码:200 / 205
页数:6
相关论文
共 50 条
  • [1] Analysis of forest regions by SAR and optical images
    Baikalova, TV
    Kazantsev, KV
    Komarov, SA
    Lukyanenko, DN
    Mironov, VL
    Yevtyushkin, AV
    Yushakov, VN
    [J]. IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, : 1723 - 1725
  • [2] Performance analysis of textural features for characterization and classification of SAR images
    Rajesh, K
    Jawahar, CV
    Sengupta, S
    Sinha, S
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2001, 22 (08) : 1555 - 1569
  • [3] TEXTURAL INFORMATION IN SAR IMAGES
    ULABY, FT
    KOUYATE, F
    BRISCO, B
    WILLIAMS, THL
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1986, 24 (02): : 235 - 245
  • [4] Textural segmentation of SAR images
    Williams, N
    Vaughan, RA
    [J]. PROGRESS IN ENVIRONMENTAL REMOTE SENSING RESEARCH AND APPLICATIONS, 1996, : 181 - 187
  • [5] Use of SAR images for classification of brazilian forest formations
    de Jesus, Janisson Batista
    Kuplich, Tatiana Mora
    [J]. CIENCIA FLORESTAL, 2021, 31 (03): : 1547 - 1568
  • [6] Usefulness of Classification of Amyloid PET Images by Use of Textural Features
    Shiiba, T.
    Takahashi, T.
    Nagano, M.
    Takaki, A.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2018, 45 : S704 - S705
  • [7] Information-theoretic textural features of SAR images: an assessment for land cover classification
    Aiazzi, B
    Alparone, L
    Baronti, S
    Bianchini, M
    [J]. IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING X, 2004, 5573 : 290 - 300
  • [8] How textural features can improve SAR-based tropical forest disturbance mapping
    Balling, Johannes
    Herold, Martin
    Reiche, Johannes
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, 124
  • [9] Investigation of Recognition and Classification of Forest Fires Based on Fusion Color and Textural Features of Images
    Li, Cong
    Liu, Qiang
    Li, Binrui
    Liu, Luying
    [J]. FORESTS, 2022, 13 (10):
  • [10] Evaluation of Textural Features for Multispectral Images
    Bayram, Ulya
    Can, Gulcan
    Duzgun, Sebnem
    Yalabik, Nese
    [J]. IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XVII, 2011, 8180