Image fusion methods for land cover classification and its potential for slope failure detection on a mountainous terrain

被引：0
|
作者：
Dept. of Civil and Structural Engineering, Kyushu University, Fukuoka, 819-0395, Japan [1 ]
不详 [2 ]
机构：
来源：
Asian Conf. Remote Sens., ACRS | / 275-280期
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Image resolution
引用
收藏
相关论文
共 50 条
  • [31] Land use/land cover classification and its change detection using multi-temporal MODIS NDVI data
    Usman, M.
    Liedl, R.
    Shahid, M. A.
    Abbas, A.
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2015, 25 (12) : 1479 - 1506
  • [32] Land use/land cover classification and its change detection using multi-temporal MODIS NDVI data
    M. Usman
    R. Liedl
    M. A. Shahid
    A. Abbas
    Journal of Geographical Sciences, 2015, 25 : 1479 - 1506
  • [33] Fusion and classification of Beijing-1 small satellite remote sensing image for land cover monitoring in mining area
    Du Peijun
    Yuan Linshan
    Xia Junshi
    He Jianguo
    CHINESE GEOGRAPHICAL SCIENCE, 2011, 21 (06) : 656 - 665
  • [34] Fusion and Classification of Beijing-1 Small Satellite Remote Sensing Image for Land Cover Monitoring in Mining Area
    DU Peijun1
    2
    YUAN Linshan3
    XIA Junshi2
    HE Jianguo2(1.Department of Geoinformatics
    Nanjing University
    Nanjing 210093
    China
    2.Key Laboratory for Land Environment and Disaster Monitoring of SBSM
    China University of Mining and Technology
    Xuzhou 221116
    China
    3.East China Mineral Exploration and Development Bureau
    Nanjing 210007
    China)
    Chinese Geographical Science , 2011, (06) : 656 - 665
  • [35] Radiometric and textural fusion of multiresolution Landsat 7 ETM channels for the improvement of visual image interpretation and land cover classification
    Mroz, M
    GEOINFORMATION FOR EUROPEAN-WIDE INTEGRATION, 2003, : 251 - 258
  • [36] Fusion and Classification of Beijing-1 Small Satellite Remote Sensing Image for Land Cover Monitoring in Mining Area
    DU Peijun1
    2.Key Laboratory for Land Environment and Disaster Monitoring of SBSM
    3.East China Mineral Exploration and Development Bureau
    Chinese Geographical Science, 2011, 21 (06) : 656 - 665
  • [37] Fusion and classification of Beijing-1 small satellite remote sensing image for land cover monitoring in mining area
    Peijun Du
    Linshan Yuan
    Junshi Xia
    Jianguo He
    Chinese Geographical Science, 2011, 21 : 656 - 665
  • [38] Fusion of HJ1B and ALOS PALSAR data for land cover classification using machine learning methods
    Wang, X. Y.
    Guo, Y. G.
    He, J.
    Du, L. T.
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2016, 52 : 192 - 203
  • [39] Optimizing land cover classification accuracy for change detection, a combined pixel-based and object-based approach in a mountainous area in Mexico
    Aguirre-Gutierrez, Jesus
    Seijmonsbergen, Arie C.
    Duivenvoorden, Joost F.
    APPLIED GEOGRAPHY, 2012, 34 : 29 - 37
  • [40] Application of Taguchi method to improve land use land cover classification using PCA-DWT-based SAR-multispectral image fusion
    Kulkarni, Samadhan C.
    Rege, Priti P.
    JOURNAL OF APPLIED REMOTE SENSING, 2021, 15 (01)
12345