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Im, Jungho
Intelligent Remote sensing and geospatial Information Science (IRIS) Lab
Research Interests
  • Remote sensing, Geospatial modeling, Disaster monitoring and management, Climate change

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Neighborhood Correlation Image Analysis for Change Detection Using Different Spatial Resolution Imagery

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Title
Neighborhood Correlation Image Analysis for Change Detection Using Different Spatial Resolution Imagery
Author
Im, Jungho
Issue Date
2006-10
Publisher
대한원격탐사학회
Citation
대한원격탐사학회지, v.22, no.5, pp.337 - 350
Abstract
The characteristics of neighborhood correlation images for change detection were explored at different spatial resolution scales. Bi-temporal QuickBird datasets of Las Vegas, NV were used for the high spatial resolution image analysis, while bi-temporal Landsat tex:\small\textstyle$TM/ETM^{+}$ datasets of Suwon, South Korea were used for the mid spatial resolution analysis. The neighborhood correlation images consisting of three variables (correlation, slope, and intercept) were evaluated and compared between the two scales for change detection. The neighborhood correlation images created using the Landsat datasets resulted in somewhat different patterns from those using the QuickBird high spatial resolution imagery due to several reasons such as the impact of mixed pixels. Then, automated binary change detection was also performed using the single and multiple neighborhood correlation image variables for both spatial resolution image scales.
URI
https://scholarworks.unist.ac.kr/handle/201301/8333
ISSN
1225-6161
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UEE_Journal Papers
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