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REMOTE SENSING FOR LAND & RESOURCES    2008, Vol. 20 Issue (3) : 20-23     DOI: 10.6046/gtzyyg.2008.03.05
Technology and Methodology |
A STUDY OF THE METHOD FOR CLSSIFICATION OF REMOTE SENSING IMAGES BASED ON DATA FIELD CLUSTER
TAO Jian-Bin, SHU Ning, SHEN Zhao-qing
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
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Abstract  

The data field cluster method was used to map the dataset in the spectral space and fully reflect the

contribution of the spectral point to the cluster through potential. The classification of remote sensing images

was conducted by such means as the construction of feature space, calculation of potential and segmentation of

gradient images. The influence of radiation factors and radiation radii on the cluster is also discussed in this

paper.

Keywords Imaging comprehension      Multispectral images     
Issue Date: 06 July 2009
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Cite this article:   
TAO Jian-Bin, SHU Ning, SHEN Zhao-Qing. A STUDY OF THE METHOD FOR CLSSIFICATION OF REMOTE SENSING IMAGES BASED ON DATA FIELD CLUSTER[J]. REMOTE SENSING FOR LAND & RESOURCES,2008, 20(3): 20-23.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2008.03.05     OR     https://www.gtzyyg.com/EN/Y2008/V20/I3/20
[1] LIU Nan, SHU Ning. MULTI-SCALE EDGE DETECTION BASED ON
SPECTRAL SPACE ANALYSIS OF LOCAL AREA
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2005, 17(3): 34-38.
[2] Shu Ning . STRENGTHEN THE RESEARCHING ON THE THEORIES AND METHODS OF THE MULTISPECTRAL IMAGES COMPREHENSION[J]. REMOTE SENSING FOR LAND & RESOURCES, 1999, 11(3): 28-30.
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