A SIMULATION STUDY OF SOME CONTEXTUAL CLASSIFICATION METHODS FOR REMOTELY SENSED DATA

被引:22
|
作者
MOHN, E [1 ]
HJORT, NL [1 ]
STORVIK, GO [1 ]
机构
[1] UNIV OSLO,STAT,OSLO 3,NORWAY
来源
关键词
D O I
10.1109/TGRS.1987.289751
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
引用
收藏
页码:796 / 804
页数:9
相关论文
共 50 条
  • [21] A Comparative Study of SVM and RF Methods for Classification of Alteration Zones Using Remotely Sensed Data
    Mohammadi, N. Mahvash
    Hezarkhani, A.
    JOURNAL OF MINING AND ENVIRONMENT, 2020, 11 (01): : 49 - 61
  • [22] Classification of dambos using remotely sensed data
    Lupankwa, M
    Stewart, JB
    Owen, RJ
    PHYSICS AND CHEMISTRY OF THE EARTH PART B-HYDROLOGY OCEANS AND ATMOSPHERE, 2000, 25 (7-8): : 589 - 591
  • [23] Feature evolution for classification of remotely sensed data
    Stathakis, Demetris
    Perakis, Kostas
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2007, 4 (03) : 354 - 358
  • [24] Classification accuracy for stratification with remotely sensed data
    Czaplewski, RL
    Patterson, PL
    FOREST SCIENCE, 2003, 49 (03) : 402 - 408
  • [25] EVALUATION OF SEVERAL SCHEMES FOR CLASSIFICATION OF REMOTELY SENSED DATA
    HIXSON, M
    SCHOLZ, D
    FUHS, N
    AKIYAMA, T
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 1980, 46 (12): : 1547 - 1553
  • [26] A Spatial-Contextual Support Vector Machine for Remotely Sensed Image Classification
    Li, Cheng-Hsuan
    Kuo, Bor-Chen
    Lin, Chin-Teng
    Huang, Chih-Sheng
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (03): : 784 - 799
  • [27] A general multisource contextual classification model of remotely sensed imagery based on MRF
    Khedam, R
    Belhadj-Aissa, A
    IEEE/ISPRS JOINT WORKSHOP ON REMOTE SENSING AND DATA FUSION OVER URBAN AREAS, 2001, : 231 - 235
  • [28] A ONE-CLASS CLASSIFICATION BY SPATIAL-CONTEXTUAL FOR REMOTELY SENSED IMAGE
    Wang Xiaofei
    Wu Shuang
    Zhang Ye
    Wang Aihua
    Hou Chuanlong
    2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, : 437 - 440
  • [29] Diffusion Geometric Methods for Fusion of Remotely Sensed Data
    Murphy, James M.
    Maggioni, Maruo
    ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XXIV, 2018, 10644