Fuzzy ARTMAP supervised classification of multi-spectral remotely-sensed images

被引：47
|
作者：
Mannan, B [1 ]
Roy, J
Ray, AK
机构：
[1] Indian Inst Technol, Dept Elect & Elect Commun Engn, Kharagpur 721302, W Bengal, India
[2] ISRO, Reg Remote Sensing Serv Ctr, Kharagpur 721302, W Bengal, India
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 1998年 / 19卷 / 04期
关键词：
D O I：
10.1080/014311698215991
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
The fuzzy ARTMAP has been applied to the supervised classification of multi-spectral remotely-sensed images. This method is found to be more efficient, in terms of classification accuracy, compared to the conventional maximum likelihood classifier and also multi-layer perceptron with back propagation learning. The results have been discussed.
引用
收藏
页码：767 / 774
页数：8
相关论文
共 50 条
  • [31] EFFECTIVE IMPLEMENTATION OF MAXIMIN CLUSTERING FOR REMOTELY-SENSED IMAGES
    VENKATESWARLU, NB
    RAJU, PSVSK
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1993, 14 (17) : 3343 - 3352
  • [32] The Integration of Multi-source Remotely-Sensed Data in Support of the Classification of Wetlands
    Judah, Aaron
    Hu, Baoxin
    REMOTE SENSING, 2019, 11 (13)
  • [33] INTERPRETATION OF REMOTELY-SENSED IMAGES IN A CONTEXT OF MULTISENSOR FUSION
    CLEMENT, V
    GIRAUDON, G
    HOUZELLE, S
    LECTURE NOTES IN COMPUTER SCIENCE, 1992, 588 : 815 - 819
  • [34] On estimating measurement error in remotely-sensed images with the variogram
    Atkinson, PM
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1997, 18 (14) : 3075 - 3084
  • [35] Semi-supervised Classification of Land Cover in Multi-spectral Images Using Spectral Slopes
    Aswatha, Shashaank M.
    Mukhopadhyay, Jayanta
    Biswas, Prabir K.
    2017 NINTH INTERNATIONAL CONFERENCE ON ADVANCES IN PATTERN RECOGNITION (ICAPR), 2017, : 338 - 343
  • [36] Using maps to automate the classification of remotely-sensed imagery
    Carlotto, MJ
    ALGORITHMS FOR MULTISPECTRAL AND HYPERSPECTRAL IMAGERY II, 1996, 2758 : 40 - 50
  • [37] Land use qualities identified in remotely-sensed images
    Wastfelt, A.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2009, 30 (09) : 2411 - 2427
  • [38] Supervised Classification of Multisensor Remotely Sensed Images Using a Deep Learning Framework
    Piramanayagam, Sankaranarayanan
    Saber, Eli
    Schwartzkopf, Wade
    Koehler, Frederick W.
    REMOTE SENSING, 2018, 10 (09)
  • [39] Classification of Remotely Sensed Images Using the GeneSIS Fuzzy Segmentation Algorithm
    Mylonas, Stelios K.
    Stavrakoudis, Dimitris G.
    Theocharis, John B.
    Mastorocostas, Paris A.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (10): : 5352 - 5376
  • [40] SEGMENTATION OF REMOTELY-SENSED IMAGES BY A SPLIT-AND-MERGE PROCESS
    CROSS, AM
    MASON, DC
    DURY, SJ
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1988, 9 (08) : 1329 - 1345
12345