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Segmentation of High Resolution Worldview-2 Satellite Images


 
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1. Title Title of document Segmentation of High Resolution Worldview-2 Satellite Images
 
2. Creator Author's name, affiliation, country Shashidhar Sonnad; Department of Electronics & Communication Engineering, APPA Institute of Engineering & Technology, Kalaburagi, Karnataka, India
 
2. Creator Author's name, affiliation, country Lalitha Y. S.
 
2. Creator Author's name, affiliation, country (doi: 10.23953/cloud.ijarsg.402)
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Feature; Multispectral; Segmentation; Spectral
 
4. Description Abstract

This paper presents the segmentation technique used to segment the Worldview-2 high resolution satellite multispectral (MS) images. First the spectral features like Simple Ratio (SR), Normalized Difference Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI) and Modified Soil Adjusted Vegetation Index (MSAVI) are considered to extract the spectral features from the MS image. Next the MS image is segmented by using the over segmented k-means algorithm with novel initialization (OSKNI) method. The proposed method performs well in terms of User’s accuracy (UA), Producer’s accuracy (PA) and overall segmentation accuracy (OVA) compared to the existing k-means algorithm.

 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2019-02-21
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJARSG/article/view/928
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Remote Sensing and GIS; Volume 8 (Year 2019)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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