A CONTEXTUAL CLASSIFICATION METHOD FOR RECOGNIZING LAND-USE PATTERNS IN HIGH-RESOLUTION REMOTELY SENSED DATA

被引：37
|
作者：
WHARTON, SW
机构：
来源：
PATTERN RECOGNITION | 1982年 / 15卷 / 04期
关键词：
D O I：
10.1016/0031-3203(82)90034-6
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
引用
收藏
页码：317 / 324
页数：8
相关论文
共 50 条
  • [41] Fusing High-Spatial-Resolution Remotely Sensed Imagery and OpenStreetMap Data for Land Cover Classification Over Urban Areas
    Luo, Nianxue
    Wan, Taili
    Hao, Huaixu
    Lu, Qikai
    REMOTE SENSING, 2019, 11 (01)
  • [42] Effects of Training Set Size on Supervised Machine-Learning Land-Cover Classification of Large-Area High-Resolution Remotely Sensed Data
    Ramezan, Christopher A.
    Warner, Timothy A.
    Maxwell, Aaron E.
    Price, Bradley S.
    REMOTE SENSING, 2021, 13 (03) : 1 - 27
  • [43] Decision tree classification of land cover from remotely sensed data
    Friedl, MA
    Brodley, CE
    REMOTE SENSING OF ENVIRONMENT, 1997, 61 (03) : 399 - 409
  • [44] Land cover classification of remotely sensed image with hierarchical iterative method
    LI Peijun* and HUANG Yingduan(Institute of Remote Sensing and GIS
    Progress in Natural Science, 2005, (05) : 442 - 447
  • [45] Land cover classification of remotely sensed image with hierarchical iterative method
    Li, PJ
    Huang, YD
    PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL, 2005, 15 (05) : 442 - 447
  • [46] Suitable sampling technique in contextual fuzzy c-means classification of remotely sensed data for land cover mapping
    Dutta, Amitava
    Kumar, Anil
    Sarkar, Soma
    GEOCARTO INTERNATIONAL, 2010, 25 (05) : 369 - 378
  • [47] A Hierarchical Hybrid SVM Method for Classification of Remotely Sensed Data
    Rao, T. Ch Malleswara
    Sankar, G. Jai
    Kumar, T. Roopesh
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2012, 40 (02) : 191 - 200
  • [48] A Method of Urban Change Detection Using High Spatial Resolution Remotely Sensed Data
    Wen, Chunjing
    Zhao, Shuhe
    2009 JOINT URBAN REMOTE SENSING EVENT, VOLS 1-3, 2009, : 1070 - 1075
  • [49] OBJECT-BASED CHANGE DETECTION USING HIGH-RESOLUTION REMOTELY SENSED DATA AND GIS
    Sofina, N.
    Ehlers, M.
    XXII ISPRS CONGRESS, TECHNICAL COMMISSION VII, 2012, 39 (B7): : 345 - 349
  • [50] Using High-Resolution Remotely Sensed Data to Examine the Relationship Between Agriculture and Fertility in Mali
    Grace, Kathryn
    Nagle, Nicholas N.
    PROFESSIONAL GEOGRAPHER, 2015, 67 (04): : 641 - 654
12345